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Creating points from an Annexation Ordinance description


I would like to be able to draw points in ArcMap using information provided by an Annexation Ordinance.

  • I use ArcMap 10.3 with a Basic License

Not having much experience in working with documents of this kind, the information is difficult for me to "translate" into something I can easily represent on a map.

Here is a snippet from one of the documents:

Surely there are tools in ArcMap that will make this process much easier on me.
I am looking for a way to be able to type in those numbers and bearings and have the program drop a point or vertex there.

Can someone explain an "easy" way of doing this?


There are a couple of ways to go about it I think.

COGO is one way. It stands for "coordinate geometry" and is essentially a suite of tools designed specifically around digitizing parcels such as you're describing. Wha'ts nice is you can have a whole table put together of bearings and distances, which minimizes the possibility of error. Unfortunately, the COGO toolbar doesn't come with a Basic license. (Read over the Question I linked to, though, it mentions some alternatives to COGO which might be useful.)

HOWEVER, basic COGO methods are still available even with the basic license. When you are in an edit session, after you create a starting point, right-click and select "Direction/Length… " (or type Ctrl+G). This lets you input a bearing and distance for the next point. You can thereby make all your line segments according to the annexation ordinance.

(See This Question for some screenshots. I couldn't take one of my own machine.)

A good writeup of the process (including pictures) is in this GIS Obsessed Blog Post: COGO Made Easy in ArcGIS Desktop. I'm going to quote a couple of the most critical tips:

ArcMap will support several different types of units & you can enter unit types other than what you're using in your map by including a unit abbreviation after a distance. I've found some deeds that have distances in Rods, which are even supported in ArcMap (add rd after the distance).

So for S 00° 10' 24" W a distance of 962 feet -- if your map units are in meters, not feet (I had to do a lot of parcel work on a UTM map, reading from SC State Plane parcels in feet), your direction would beS 00-10-24 Wand your distance would be962ft.

If you're drawing a line in the opposite direction from the way that a plan shows it, just make sure that you flip the directions in your bearing, ie., if the plan shows the bearing as S 86-12-36 E and you are drawing the line the opposite way, just enter it as N 86-12-36 W.

This can be good for double-checking a deed, if you want to start at the "end" and work backwards and see if the parcel is correct.

The hardest part of this process is when you diligently follow through all the steps of the parcel outline per the survey description… and the end point doesn't meet up with the beginning point (and is hundreds of feet off). So you assume something went wrong, and you carefully go through again, and get back to the same discrepancy at the end. (When THAT happens, the survey is to blame and it's time to start making educated guesses about where the typo is in the writeup!) The advantage of COGO (or similar) is that you reduce the risk that you made a typo somewhere in the editing process.


As suggested by @Erica, COGO tools are what I would ideally use for this type of work.
However, being limited to a Basic License, COGO tools in ArcMap are not available to me.

I found this blog explaining a workaround for such a situation. It explains how to adjust your editing tools so that you can do what I mentioned above: "type in those numbers and bearing and have the program drop a point or vertex there."

To do this:

  • Begin an Edit session and go into the Edit Options menu.
  • Click on the "Units" tab
  • Set "Direction Type" to "Quadrant Bearing"
  • Set "Direction Units" to "Degrees Minutes Seconds"

Now, when drawing a Polygon, you can right-click and select "Direction/Length" or use CTRL + G.

You will be presented with this:

Now, you can type in what you read in the Annexation Ordinance description, press Enter, and the point will be drawn!


Contents

Effective use of today’s powerful GIS technology requires an understanding of the science of problem-solving that underpins it. Since the first edition published over a decade ago, this book has led the way, with its focus on the scientific principles that support GIS usage. It has also provided thorough, upto- date coverage of GIS procedures, techniques and public policy applications. This unique combination of science, technology and practical problem solving has made this book a best-seller across a broad spectrum of disciplines. This fully updated 4th edition continues to deliver on these strengths. New To This Edition: The internal structure of the book has changed. After an introductory chapter, there is now a section on Principles. This encompasses the nature of geographic data and information, representing geography, georeferencing, and uncertainty. This text now focuses on the commonalities and the differences between groups of GI system users. Thus those in business, in governments at a variety of levels, in academia, and in not-for-profit organizations have overlapping concerns but some different drivers. Makes use of examples and descriptions of luminaries whom we judge to have made a substantial contribution. We have tried to provide detail while also trying to highlight key points (such as through use of short tweet-like ‘factoids’ that appear in bold), further reading, and a set of questions at the end of each chapter to test how much the student has gained from it and whether the student can develop new ideas or practice.

1 Geographic Information: Science, Systems, and Society

2 The Nature of Geographic Data

7 Geographic Data Modeling

9 Creating and Maintaining Geographic Databases

11 Cartography and Map Production

14 Spatial Analysis and Inference

15 Spatial Modeling with GI Systems

17 Information and Decision-making

19 Epilogue: GISS in the Service of Humanity

Professor?Paul Longley, Department of Geography, University College London, UK.

Professor Mike Goodchild, Department of Geography, University of California Santa Barbara, USA.

Professor David Maguire, ESRI, Redlands, USA.

Professor David Rhind, Vice Chancellor and Principle, City University,?London, UK.


Course Syllabus

Geographic Information Systems (GIS) are tools for managing, describing, analyzing, and presenting information about the relationships between where features are (location, size and shape) and what they are like (descriptive information known as attribute data). Because its techniques allow one to represent social and environmental data as a map, GIS has become an important tool across a variety of fields including planning, architecture, engineering, public health, environmental science, epidemiology, and business. Further, GIS has become an important political instrument allowing communities and regions to (geo)graphically tell their stories.

GIS is a powerful tool, and this course is meant to introduce students to the basics. Because GIS can be applied to many research fields, this class is meant to give students an understanding of its possibilities along with the capabilities to begin engaging those possibilities.

The class will focus on teaching through practical example. Course exercises are based upon a relationship with the Bronx River Alliance, a local advocacy group for the Bronx River. Exercises will focus on the Bronx River Alliance’s real-world needs in order to give students a better understanding of how GIS is applied to planning situations.

Roughly speaking, the course is organized in two parts. The first half of the course will focus on the basics by leading the students through skills-based GIS exercises. The second half of the course will be focused on individual student projects for which each student will be required to find data and design the methods of analysis to be used based on the techniques learned in the course.

The course seeks to provide students with a basic level of familiarity with several aspects of Geographic Information Systems and Geographic Information Science, such that the range of possibilities for GIS-based work is understood and an adequate foundation for engaging those possibilities is laid. Thus, the objectives for the course are:

  • Providing an understanding of basic skills necessary to work with GIS, predominantly using ESRI’s ArcGIS software
  • Introducing students to software and techniques beyond ESRI products
  • Teaching spatial data visualization techniques along with introductory knowledge of effective cartography and additional software for the production of maps and other information graphics
  • Teaching skills needed to develop and execute a project requiring GIS as a management, analytical, and/or visualization tool
  • Identifying and accessing publicly available data sets
  • Teaching the skills necessary to create GIS data through a variety of methods including those offered by global positioning system (GPS) technologies
  • Providing an introductory understanding of the ethical questions surrounding data creation, analysis, and representation

Standard Class Information

The class will meet in 200 Fayerweather on Tuesday 7-9pm and Thursday 7-9pm. Barring any technical difficulties, class will begin promptly with a marginal amount of time built into the beginning of every class for students to download the requisite files from Dropbox onto their local machines and/or external hard drives.

Standard Method of Instruction

The course will meet twice per week unless otherwise specified. While there are exceptions to this pattern, generally speaking, Tuesdays will consist of a lecture, class discussion and lab time to begin in-class exercises. Thursdays will usually be reserved as a lab session, during which students will have the opportunity to work through assignments with faculty guidance.

The course will feature a two guest lecturers. The GIS faculty have invited GIS professionals to discuss their work and experience so as to offer students descriptions of GIS use and application beyond the academic context.

Class participation, Readings & Discussion: 5% of total grade

There is a considerable amount of reading available on GIS-related topics. Especially at the introductory level, an understanding of the science, theory, and application of GIS is extremely important. Care has been taken to include necessary readings within this course with an understanding that the assignments themselves can overwhelm a student's schedule before the time necessary for readings is taken into account. Therefore, while the suggested reading list is lengthy, the required readings are minimal. Students are expected to complete required readings before class in order to participate fully in class discussion. For full participation points, a student should come to class prepared with questions and comments on weekly required readings and contribute to general class discussions. In the syllabus, readings are listed as:

  • Required: for discussion – students should come to class prepared to discuss
  • Required – students are required to read as reading will assist in learning/exercise completion
  • Reference – optional readings/materials that provide additional information/detail.

In-class exercises: 0% of total grade

Because GIS is rooted in computer-based analysis, its adequate teaching and learning requires regularly completed exercises. Successful completion of the course requires that students stay with the schedule, completing exercises in a timely manner, such that skills learned early can be built upon later in the semester. Each week includes ungraded in-class exercises. The results of these exercises are not required to be turned in at the completion of class but do serve as the basis for the graded homework assignments.

Homework Assignments: 35% of total grade (5% each)

Most weeks include take-home exercise assignments. While some weeks these graded exercises may be completed during the lab session, the assignments are expected to be completed outside class when necessary. There are a total of eight (8) homework assignments. You are required to complete seven (7) of those assignments. Rather than accept late exercises, the GIS faculty allow students to skip the submission of one assignment with the expectation that the skills are learned even if the finished assignment is not turned in. If all eight are submitted, then the lowest grade will be dropped and not calculated with the final grade.

Problem Set: 15% of total grade

One assigned problem set will be given mid-semester. It is lengthier and slightly more complex than the homework assignments in that it requires students to apply a combination of skills learned up to that point without the benefit of step-by-step tutorial instruction. The problem set will include questions requiring calculations and numeric responses, analysis with graphic responses (maps, tables, graphs, etc), and written responses on uses of GIS.

Case Study Reading Response: 10% of total grade

One reading response paper will be assigned at mid-semester. It is a short paper and presentation assignment requiring students to find, read, and comment on an example of published research that uses spatial analysis and/or specific GIS techniques.

Final Project: 30% of total grade

Students are expected to design, research, and complete a final project by the end of the semester. The project is required to be a specific research question answered or explored using GIS. Several deliverables at different times will be assigned to aid students in the completion of the project, and class time toward the end of the semester will be devoted to individual work with faculty guidance and project desk crits. Final projects will include a written and graphical report along with a presentation. Final presentations will be given before a panel of invited guests.

Each assignment will outline the specific requirements for its submission format. Generally speaking, homework assignments must be submitted via CourseWorks and submitted in printed, hard-copy format (black and white or full color, as appropriate) in class. Be advised that certain assignments will have digital due dates that are scheduled before class meets. Absolutely, no late assignments will be accepted.

Translation from Scores to Grades

Students are often understandably concerned with where the lines are drawn between "high pass," "pass," and "low pass." At the end of the semester, students are ranked by the cumulative, weighted scores and approximately the top 20% will receive a high pass.

If, by the University's Election Holiday, a student is in danger of receiving a grade lower than a pass, an individual meeting will be scheduled to discuss and outline what will be necessary to achieve a passing grade.

Expectation of Academic Honesty

As always and as with every other course, this class is conducted in accordance with University policy on matters of academic honesty and integrity. Note that instances of plagiarism will not be tolerated, whether in written text, in research design, or in data acquisition and creation. In research we build on the work of others: give credit where credit is due.

Additionally, this course contains a few considerations which should be stated. At several points in the semester, students will be encouraged to look to their peers for collaborative problem solving and troubleshooting especially within the lab and studio settings. Except where otherwise stated in specific assignments, collaboration is welcomed but individual assignments must be conceived and completed individually.

All course materials will be located in a Dropbox account, which also contains the GIS data resources available for student use at GSAPP. The course materials are organized by week.

Within each week’s archive (ZIP file), there are sub-folders for documents (exercises and assignments), readings, and geographic files (shapefiles, project files, data files, etc).

An External Hard Drive: It is very highly recommended that everyone have an external hard drive to hold data for their assignments and final projects. We suggest a hard drive with a minimum capacity of 20 GB.

One book: GIS for the Urban Environment by Julie Maantay and John Ziegler is heavily assigned in the readings for this course. PDFs of readings are available on the X: drive, but these only constitute excerpts of a valuable text.

CourseWorks Discussion Board

If you have a question, it is likely that your peers may be presently working out the same issue or may have already found a solution. Students are encouraged to post questions on the CourseWorks discussion board and collectively work toward finding answers prior to emailing the TAs and professors. Learning GIS is a techniques-heavy endeavor with several moments that require critical problem solving skills. These skills are substantially better acquired when the solutions are derived through work than from asking your TA.

Regular professor office hours will be held weekly on Tuesday 9-10pm, by request, in the Planning Studio, and through Google Hangout during weekdays.

The course TA, Jackie Sunwoo, will announce his office hours during the second week of class. She is also available by appointment.

Digital Service Science Center (DSSC)

Electronic Data Services is located on the lower level of Lehman Library and is a great resource for GIS data and technical questions. DSSC collects spatial data and may have what you need for your final project. Further, if they don't have the data you're looking for, the data librarians can usually help you find it. DSSC also has technical consultants available for questions regarding data as well as those related to performing certain GIS operations. Their facility is equipped with computer stations (with extremely nice monitors). Check their hours of operation before visiting on the Columbia Libraries website.http://library.columbia.edu/content/libraryweb/indiv/dssc.html

There Esri user forum is an excellent resource for technical GIS software questions: http://forums.arcgis.com. It is very highly recommended that you search this forum when you have a question. It’s almost a guarantee that someone has had the same issue and the forum is a very quick way to find immediate solutions.

The professor and TA may not always be able to respond to email questions right away. Therefore, it is very important that you use the other resources available to you. There are several ways to find help if you need it, so please do not let an unanswered email hold you back. One of the greatest assets you will have in this course is your own time management and determination to answer your own questions. Use lab time and office hours wisely.

If you email a technical question to either the professor or TA, be sure to include enough information for us to adequately help you. Necessary information includes, but is not limited to, a complete description of what you are trying to accomplish and the problem you are encountering, any relevant information regarding the data sets you are using, the steps you have already taken to address your problem (so we don't tell you to do what you've already done), and any necessary screenshots to help us understand what you are doing when we cannot sit with you in front of a computer.

WEEK 1 Course Introduction, What is GIS?, Understanding ArcGIS & GIS terminology

TUESDAY 6 September 2016

Lecture Course Administration, Syllabus, Introductions What is GIS? A Brief History of GIS A Discussion of GIS and Urban Planning

Lab Log into Esri Virtual Campus & Start Tutorials

THURSDAY 8 September 2016

Lecture Elements of Cartography Constructive Map Criticism

Assigned Homework 1: Modules 1 & 2 of Esri's Virtual Campus Tutorials (Please print out the exam certificate or exam result and bring to class on Thursday, 9/15. Alternatively, you can upload .jps on CourseWorks.)

WEEK 2 Making Maps: Maps & Spatial Analysis

TUESDAY 13 September 2016

Lecture Types of Maps Common Design Pitfalls

Readings Kent and Klosterman: GIS and Mapping: Pitfalls. (required: for discussion)

Maantay and Ziegler: Chapter 1 (required: for discussion)

Longley et al: Chapter 1 (reference)

Lab Week 2 In-class Exercise A: Map Composition in ArcGIS

Week 2 In-class Exercise B: From ArcGIS to Illustrator

THURSDAY 15 September 2016

Due Homework Week 1: Modules 1 & 2 of Esri's Virtual Campus

Lab Finish Week 2 In-class Exercises A&B

Assigned Homework Week 2: Working with Data and Creating Maps

WEEK 3 Working with Maps& Data

TUESDAY 20 September 2016

Lecture Data Classification Map Projections Reading Metadata

Readings Maantay and Ziegler: Chapter 4 (required: for discussion)

Maantay and Ziegler: Chapter 2 (required)

Maantay and Ziegler: Chapter 3 (required)

Monmonier: Chapter 1 (reference)

Lab Week 3 In-class Exercise: Joining Tables to Boundary Files

THURSDAY 22 September 2016

Due Homework Week 2: Working with Data and Creating Maps

Lab Finish Week 3 In-class Exercise Visualizing Data in ArcScene

Assigned Homework Week 3: Working with Tables: Joining Data & Querying

WEEK 4 Working with Census Data, Part 1

TUESDAY 27 September 2016

Lecture Understanding Census Data & Geometry Accessing Census Data Working with Microsoft Access

Readings Peters and MacDonald: Chapter 1 (required: for discussion)

Writing Effective Policy Memos (required: reference – located in ProblemSet1documentsfolder)

Assigned Problem Set: Policy Memo

Lab Week 4 In-class Exercise: Working with Census Data, Part 1

THURSDAY 29 September 2016

Due Homework Week 3: Working with Tables: Joining Data & Querying

Lab Finish Week 4 In-class Exercise

Additional class time reserved for work on Problem Set

WEEK 5 Working with Census Data, Part 2

TUESDAY 4 October 2016

Lecture Interpreting Census Variables The Decennial Census Versus The American Community Survey Charts & Graphs for Data Display

Readings Sclossberg (required: for discussion)

Peters and MacDonald: Chapter 2 (required: for discussion)

A Compass for Understanding and Using ACS Data: Appendix 1 (required: reference)

Monmonier. Drawing the Line (reference)

A Compass for Understanding and Using ACS Data (reference)

Lab Week 5 In-class Exercise: The American Community Survey

THURSDAY 6 October 2016

Lab Finish Week 5 In-class Exercise

Class time reserved for work on Problem Set

WEEK 6 Geoprocessing

TUESDAY 11 October 2016

Lecture Geoprocessing Tools: Buffers, Clips, Unions

Readings Maantay& Ziegler: Chapter 9 (required: for discussion)

Lab Week 6 In-class Exercise: Geoprocessing

THURSDAY 13 October 2016

Due Problem Set: Policy Memo

Lab Finish Week 6 In-class Exercise Work on Week 6 homework

Assigned Homework Week 6: Area Calculation

WEEK 7 Geocoding

TUESDAY 18 October 2016

Lecture What is Address Mapping? Location-based Services

Readings Maantay & Ziegler: Chapter 7 (required: for discussion)

DCPLION Single Line Street Base Map User Guide (reference)

Lab Week 7 In-class Exercise: Geocoding

THURSDAY 20 October 2016

Due Homework Week 6: Area Calculation

Lab Finish Week 7 In-class Exercise Work on Week 7 homework

Assigned Homework Week 7: Geocoding

Lecture **Someone from DSSC will speak about library services to help you with your final projects** Please be seating promptly at 7:00pm.

WEEK 8 Georeferencing& Editing

TUESDAY 25 October 2016

Lecture Editing features: Point, Line, and Polygon Rubbersheeting & Georeferencing Introduce final project concept

Readings Maantay & Ziegler: Chapter 2 (required: for discussion)

Lab Week 8 In-class Exercise A: Georeferencing

Week 8 In-class Exercise B & C: Editing

THURSDAY 27 October 2016

Due Homework Week 7: Geocoding

Readings Craft of Research: Chapters 3 & 4 (required: for discussion)

Lab Finish Week 8 In-class Exercises A, B, C

Assigned Homework Week 8: Georeferencing

**Guest Lecture: TBD**

WEEK 9 Beyond Esri & ArcGIS

TUESDAY 1 November 2016

Lecture Working with Google Web mapping QGIS Additional platforms and software

Readings Maantay & Ziegler: Chapter 12 (required: for discussion)

Lab Week 9 Exercise: Google Fusion Tables and/QGIS

THURSDAY 3 November 2016

Due Homework Week 8: Georeferencing & Final Project Paragraph

Assigned Case Study Reading Response Paper

Lecture Raster Data Decision Support Methods with Rasters & Reading Response Papers

Reading Cote (required: for discussion)

Week 10 terms ArcGIS (in Week 9Readings folder)

WEEK 10 Raster Data and Raster-based Decision Support

TUESDAY 8 November 2016: NO CLASS ELECTION HOLIDAY

THURSDAY 10 November 2016

Due Final Project Paragraph & Case Study Reading Response Papers and Presentations (with discussion)

Discussion Final Project Proposals

Lab Reading response presentations

Assigned Homework Week 10: Rasters

WEEK 11 GPS Data Collection

TUESDAY 15 November 2016

Due Final Project Proposals

Lecture Field Surveys GPS Aerial Imagery Creating Metadata

FGDC Metadata Guide (reference)

Lab Week 10 In-Class Exercise: Rasters

Assigned Homework Week 10: Rasters

THURSDAY 17 November 2016

**Guest Lecture** Speaker Sarah Almukhtar

Lab Finish Week 10 Exercise Additional class time reserved for Homework Week 10: GPS.

WEEK 12 Applications of GIS

TUESDAY 22 November 2016

Work on Week 10 assignment

THURSDAY 24 November 2016

WEEK 13 Final Project Development

TUESDAY 29 November 2016

Desk Crits Class time reserved for Final Project development

THURSDAY 1 December 2016

Class time reserved for Final Project development

WEEK 14 Final Project Development

TUESDAY 2 December 2016

Desk Crits Class time reserved for Final Project development

THURSDAY 4 December 2016

Desk Crits Class time reserved for Final Project development

WEEK 15 Final Project Presentations

TUESDAY 13 December 2016

Due Final Project Presentations -- Everyone's presentation files are due, regardless of which day a student is scheduled to present.

Presentations Half the class will present their final projects

THURSDAY 15 December 2016

Presentations Half the class will present their final projects

FRIDAY 16 December 2016

Due Final Project Reports -- Everyone's reports are due on CourseWorks by 5pm.


Assessment Tasks

Assignment 1

Due: Week 6
Weighting: 15%

A report on the week 2 – 5 practical exercises.

  • Analyse and interpret spatial information from urban and regional management agencies.
  • Design and execute advanced spatial analysis in GIS.
  • Effectively communicate the outputs of spatial analysis in both map and written formats.
  • Apply advanced GIS concepts and techniques to real-world urban and regional management problems.

Assignment 2

Due: Week 9
Weighting: 20%

A report on the land use and floor space field study and 3D visualisation.

  • Analyse and interpret spatial information from urban and regional management agencies.
  • Effectively communicate the outputs of spatial analysis in both map and written formats.
  • Apply advanced GIS concepts and techniques to real-world urban and regional management problems.

Assignment 3

Due: Week 13
Weighting: 15%

A report on the network analysis and public transport accessibility level model.

  • Analyse and interpret spatial information from urban and regional management agencies.
  • Design and execute advanced spatial analysis in GIS.
  • Effectively communicate the outputs of spatial analysis in both map and written formats.
  • Apply advanced GIS concepts and techniques to real-world urban and regional management problems.

Assignment 4

Due: Weeks 7 and 12
Weighting: 10%

Two short quizzes on lecture and practical topics.

  • Analyse and interpret spatial information from urban and regional management agencies.
  • Design and execute advanced spatial analysis in GIS.
  • Effectively communicate the outputs of spatial analysis in both map and written formats.
  • Apply advanced GIS concepts and techniques to real-world urban and regional management problems.

Final Exam

Due: TBC
Weighting: 40%

Final exam covering all aspects of the unit.

  • Analyse and interpret spatial information from urban and regional management agencies.
  • Design and execute advanced spatial analysis in GIS.
  • Effectively communicate the outputs of spatial analysis in both map and written formats.
  • Apply advanced GIS concepts and techniques to real-world urban and regional management problems.

Legal framework / EU Directives

Listed are the EU Directives with a relation to the fields of activity of the surveyor. For each CLGE member state the national implementation of these EU Directives can be found.

  1. General Data Protection Regulation (EU) 2016/679
  2. Directive 96/9/EC on the legal protection of database
  3. Directive 2005/36/EC on the recognition of professional qualifications
  4. Directive 2006/123/EC on services in the internal market
  5. IACS Land Parcel Information Systems for implementing the CAP
  6. Directive (EU) 2019/1024 on open data and the re-use of public sector information
  7. Directive 2007/2/EC establishing an Infrastructure for Spatial Information in the European Community (INSPIRE)

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Verified : No
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Source of information : http://opendatamalta.com/open-data/open-data-portals/
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Name : Grilc M.
Date of entry : September 28, 2016
Verified : No
Quality index : low
Source of information : Website "Uradni list"
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Name : Tijana Milinkovic
Date of entry : July 26, 2017
Verified : No
Quality index : low
Source of information : http://www.rgz.gov.rs/template1a.asp?PageName=zakonski_propisi&MenuID=0020030&LanguageID=1 http://www.gfa-group.de/web-archive/inspire/www.inspiration-westernbalkans.eu/5/8/9/9/0/3/INSPIRATION_-_National_report_Serbia_-_15.07.13..pdf
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Name : Konstantina Mangina
Date of entry : July 24, 2017
Verified : No
Quality index : low
Source of information : Greece-Legal Framework, http://ggim.un.org/knowledgebase/KnowledgebaseArticle51528.aspx Spatial Data Infrastructures in Greece: State of play 2011, http://inspire.ec.europa.eu/reports/stateofplay2011/rcr11GRv101.pdf
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Date of entry : April 6, 2016
Verified : No
Quality index : low
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Name : Duncan Moss and James Kavanagh
Date of entry : May 1, 2014
Verified : Yes
Quality index : high
Source of information : http://data.gov.uk
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Name : Florian Romanowski
Date of entry : March 3, 2014
Verified : Yes
Quality index : low
Source of information : http://isap.sejm.gov.pl/DetailsServlet?id=WDU20100760489 http://isap.sejm.gov.pl/DetailsServlet?id=WDU20101831233 http://isap.sejm.gov.pl/DetailsServlet?id=WDU20102011333
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Name : Wim Broes
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Verified : No
Quality index : medium
Source of information : http://eur-lex.europa.eu/LexUriServ/LexUriServ.do?uri=CELEX:72007L0002:EN:NOT#FIELD_BE
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Name : Vasile Chiriac
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Verified : Yes
Quality index : medium
Source of information : http://www.arfc.gov.md/transparenta/proiecte
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Name : Jan Hardos
Date of entry : March 10, 2014
Verified : Yes
Quality index : high
Source of information : web: jaspi.justice.gov.sk
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Name : Michelle Camilleri
Date of entry : February 28, 2014
Verified : No
Quality index : low
Source of information : http://sdi.data.gov.mt/
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Name : Torben Juulsager
Date of entry : February 10, 2017
Verified : No
Quality index : low
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Name : Ivan Remeta
Date of entry : January 29, 2014
Verified : No
Quality index : low
Source of information : Official Gazette, 56/13
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Name : -
Date of entry : January 1, 1970
Verified : No
Quality index : low
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Name : Fernando Rodriguez Amor
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Verified : Yes
Quality index : high
Source of information : https://www.boe.es/eli/es/l/2018/05/23/2
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Name : -
Date of entry : November 30, -0001
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Name : Supervised by AeroVision
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Name : M. de Buitléir
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Verified : Yes
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Source of information : http://www.irishstatutebook.ie/2010/en/0382.html
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Name : Paavo Häikiö
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Verified : No
Quality index : low
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Name : Konstantina Mangina
Date of entry : July 24, 2017
Verified : No
Quality index : low
Source of information : Law 2472/1997 on the Protection of Individuals with regard to the Processing of Personal Data (as amended), https://www.dpa.gr/pls/portal/docs/PAGE/APDPX/ENGLISH_INDEX/LEGAL%20FRAMEWORK/LAW%202472-97-APRIL010-EN%20_2_.PDF Personal Data Protection, http://www.greeklawdigest.gr/topics/data-protection/item/111-personal-data-protection
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Name : Grilc M.
Date of entry : September 28, 2016
Verified : No
Quality index : low
Source of information : Website "Uradni list"
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Name : Michelle Camilleri
Date of entry : February 28, 2014
Verified : No
Quality index : low
Source of information : http://www.idpc.gov.mt/article.aspx?art=168
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Date of entry : March 12, 2014
Verified : Yes
Quality index : high
Source of information : Law No. 122/2013 http://jaspi.justice.gov.sk/
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Verified : No
Quality index : medium
Source of information : http://ec.europa.eu/justice/data-protection/law/status-implementation/index_en.htm
Completeness : nearlyComplete

Name : Florian Romanowski
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Verified : Yes
Quality index : low
Source of information : http://ec.europa.eu/justice/policies/privacy/docs/implementation/poland_en.pdf
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Name : Fernando Rodriguez Amor
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Verified : Yes
Quality index : high
Source of information : https://www.boe.es/boe/dias/2018/12/06/pdfs/BOE-A-2018-16673.pdf
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Verified : No
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Name : -
Date of entry : January 1, 1970
Verified : No
Quality index : low
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Name : M. de Buitléir
Date of entry : April 30, 2013
Verified : Yes
Quality index : low
Source of information : http://www.dataprotection.ie/docs/home/4.htm
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Name : Paavo Häikiö
Date of entry : April 6, 2016
Verified : No
Quality index : low
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Name : Konstantina Mangina
Date of entry : July 25, 2017
Verified : No
Quality index : low
Source of information : The Implementation and Application of Directive 96/9/EC on the Legal Protection of Database http://ec.europa.eu/internal_market/copyright/docs/studies/etd2001b53001e72_en.pdf Spatial Data Infrastructures in Greece: State of play 2011, http://inspire.ec.europa.eu/reports/stateofplay2005/rcr05GRv62.pdf Copyright and sui generis protection for databases under Greek copyright law, https://repository.ihu.edu.gr//xmlui/handle/11544/711
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Name : Grilc M.
Date of entry : September 28, 2016
Verified : No
Quality index : low
Source of information : Website "Uradni list"
Completeness : complete

Name : Michelle Camilleri
Date of entry : February 28, 2014
Verified : No
Quality index : low
Source of information : http://eur-lex.europa.eu/LexUriServ/LexUriServ.do?uri=CELEX:31996L0009:EN:NOT
Completeness : complete

Name : Wim Broes
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Verified : No
Quality index : medium
Source of information : http://eur-lex.europa.eu/LexUriServ/LexUriServ.do?uri=CELEX:71996L0009:FR:NOT#FIELD_BE
Completeness : nearlyComplete

Name : Florian Romanowski
Date of entry : March 3, 2014
Verified : Yes
Quality index : low
Source of information : http://eur-lex.europa.eu/LexUriServ/LexUriServ.do?uri=DD:13:15:31996L0009:PL:PDF
Completeness : complete

Name : Fernando Rodriguez Amor
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Verified : Yes
Quality index : high
Source of information : http://www.boe.es/boe/dias/1998/03/07/pdfs/A07935-07940.pdf, https://www.boe.es/buscar/pdf/1996/BOE-A-1996-8930-consolidado.pdf, https://www.boe.es/eli/es/lo/2018/12/05/3/con
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Name : -
Date of entry : January 1, 1970
Verified : No
Quality index : low
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Name : M. de Buitléir
Date of entry : April 30, 2013
Verified : Yes
Quality index : high
Source of information : http://www.irishstatutebook.ie/2000/en/act/pub/0028/
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Name : -
Date of entry : November 30, -0001
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Source of information : Laws No. 293/2007, 215/1995, 216/1995
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July 26, 2009

Abby Brown: 1) Neighborhood Ground Water Network 2) Gender and Water in South India

This post is a twofer, courtesy of Abigail (Abby) Abby Brown, my MS student, who also runs the excellent Water for the Ages blog. The post describes two different community-based projects with which she's intimately involved: one in Oregon and the other in South India.

1) Neighborhood Ground Water Network

Abby recently finished a one-year internship with the Neighborhood Ground Water Network, a community-based ground water monitoring program. She was funded by the Oregon Water Resources Department and OSU Extension/Oregon Sea Grant.

Information from the NGWN WWW site:

The Neighborhood Ground Water Network was a one-year pilot program held in the Eola Hills, northwest of Salem, to teach community members how to measure the water level in their wells while informing them about the importance of ground water systems.
 
During this program, twenty-six participants learned the basics of ground water science, how to measure the water levels in wells, and how to interpret these ground water level measurements. Some of these participants will continue to measure the water levels in their wells under the direction of 
Spring Valley Watershed Council.
 
Education about ground water systems and ground water level measurement has helped these community members become better prepared to care for wells and ground water supplies into the future.

The Eola Hills Ground Water Limited Area (EHGWLA) is one of ten areas adopted in 1992 that restricts water use from the Columbia River Basalt group of aquifers in the Willamette River Basin. This area was designated a Ground Water Limited Area because of the potential for water level declines.

The EHGWLA is an eighty square-mile area located just northwest of Salem, Oregon. The Willamette River makes up the eastern boundary, Highway 22 makes up the southern boundary, Highway 99W makes up the western boundary, and the northern boundary is just above the Yamhill County line.

2) Gender and Water in South India

Abby is about to embark for India, where she will be studying gender and water issues in the Bangalore area as an intern with the Indian NGO Arghyam. She and Arghyam designed the program, which willl consist of interviews in villages in South India.

She's quite enthused and will do a exceptional job. 

I'm very anxious to see her results I became interested in such issues about eight years ago when I started working on community water systems in Honduras. 

"Women are responsible for the usage of water, therefore, it is important to develop the capacity of women in the management of water – and that includes getting advanced degrees." -- Anta Seck, water engineer and Director of Water Resource Management and Planning for Senegal


The Master of Science Degree

Admission to the master's program in geography is granted to college graduates with superior academic records. An undergraduate geography major is not required. Majors from the social, physical, and behavioral sciences and from the humanities are encouraged to apply. Incoming graduate students must demonstrate competency in cultural geography, physical geography, statistics and cartography. If a student lacks these prerequisite skills, an additional course in each of these subjects is required.

Two basic plans of study exist for the master's degree. One plan requires a minimum of 30 credit hours, including a thesis the other is a 36-credit-hour non-thesis option. Plans of study can be developed to accommodate many interests. Major faculty interests span nature-society dynamics, including resource management and cultural and political ecology cultural and historical geography, geographic information science and unmanned aerial systems urban and transportation geography and regional analysis and development.


Part I - Using and making maps
Chapter 1: Introduction - Learn the basics of working with existing GIS data and maps
Chapter 2: Map design - Learn how to create choropleth and point maps
Chapter 3: GIS outputs - Learn how to build and export maps using GIS data

Part II - Working with spatial data
Chapter 4: File geodatabases - Learn how to create geodatabases and import data into them
Chapter 5: Spatial data - Explores the basic data types used within GIS and then shows how to use the Internet to gather GIS data
Chapter 6: Digitizing - Learn how to digitize vector data and transform data to match real-world coordinates
Chapter 7: Geocoding - Learn how to map address data as points through the geocoding process  Chapter 8: Geoprocessing - Perform spatial analysis using geoprocessing tools

Part III - Learning advanced GIS applications
Chapter 9: Spatial analysis - Perform spatial analysis using geoprocessing tools and analysis workflow models
Chapter 10: ArcGIS 3D analyst - Introduces ArcGIS 3D Analyst, allowing users to create 3D scenes, conduct fly-through animations, and conduct line-of-sight studies
Chapter 11: ArcGIS spatial analyst - Introduces ArcGIS Spatial Analyst for creating and analyzing raster maps, including hillshades, density maps, site suitability surfaces, and risk index surfaces 3


Indexed Articles

Description

Geographic Information Science (GIScience):

Geographic Information Science (GIScience) is the information system with advanced computer technology used to evaluate, design, edit and visualize the geographic information from the database. Geographic Information Science is used in the disciplines of social, environmental, biological, health and engineering sciences.

Geographic Information Technology

Geographic Information Technology is the major field using the various advanced technologies for the capturing, storing and displaying data related to geographical systems. Geographic Information Technology covers all the essential data in the study.

Geo-visualization:

Geo-visualization, the field in geographical sciences constitutes the various techniques and tools for understanding, interpretation, assessment and interactive visualization of geospatial data. Geo visualization deals with interaction techniques and combined visual and computational mining of geospatial data.

Geo-spatial Intelligence:

Geo-spatial Intelligence is the field in geological sciences wherein the intelligence of human activity on earth is assessed in exploitation and analysis of geospatial data and visually depicts physical features (both natural and constructed) and geographically referenced activities on the Earth. Geo-spatial Intelligence is used as imagery as map-based intelligence and geospatial information in support of the nation's military forces, national policy makers and civil users.

Spatial Decision Support Systems:

Spatial Decision Support Systems is a computer based interactive system structured to help the user or group of users in making a decision while dealing with the semi-structured spatial problems. Spatial Decision Support System is the advancement to many calculations in geographic studies.

Remote Sensing:

Remote Sensing is the advanced technology in geography which deals with the science of observing or recording the objects or events which are far away i.e. remote places such as earth&rsquos surface and atmosphere using sensors onboard platforms. Remote Sensing deals with various topics like Radio meters, Photo meters, RADAR, LIDAR, Hyper spectral imaging.

Web Mapping:

Web Mapping is the field of geographical sciences dealing with the use of maps delivered by geographical information system. Web Mapping generally uses a web browser or other user agent capable of client-server interaction.

Agro-ecosystem Modeling:

Agro-ecosystem Modeling is the most advancing technology for agricultural analytics. Agro-ecosystem Modeling is the geographical approach of assessing the information related to agriculture by using several geographical techniques for its statistics and information generation.

Agro-Geoinformatics:

Agro-Geoinformatics, a branch of geoinformatics, is the science and technology dealing with the digital agro-geoinformation, such as collection of data through remote sensing, processing, storing, retrieving, transmitting and visualization agro-geoinformation. Agro-Geoinformation is crucial for the agricultural sustainability, food security, environmental research, etc.

Geodetic Systems:

Geodetic system is the widely used technology wherein, it consists of a coordinate system along with the set of reference points used to locate places on earth. Geodetic systems are used in surveying by cartographers and satellite navigation systems.

Land-Use and Land-Cover Change:

Land-Use and Land-Cover Change (LULCC) is the term majorly used for the human modification on earth surface. Scientists are in vast research on the Monitoring and mediating the negative consequences of LULCC. Land-Use / Land-Cover Changes (LULCC) affect climate through impacts on surface albedo, sensible and latent heat fluxes, the boundary layer temperature-moisture profile, and the partitioning of rainfall between evaporation, transpiration and runoff.

Global Navigation Satellite Systems:

Global Navigation Satellite Systems is the advanced technology of satellite system that is used to provide signals from space for geographic positioning and timing of data anywhere in the globe. A GNSS system employs a constellation of orbiting satellites working in conjunction with a network of ground stations.

Cartography:

Cartography is the art of science which involves representation of data such as geographical area on a flat surface like map or chart graphically. Cartography is widely used in geological studies for easy evaluation and comparision of data.

Geodesy and Geoportal:

Geodesy or Geodetics engineering is the associated field of geological sciences including applied mathematics and earth sciences with the measurement and understanding of the earth&rsquos shape, orientation and its gravity. A geoportal is the basic web portal used to access geographic information and associated geographic services through the Internet.

GeoComputation:

GeoComputation is the field of geographical sciences which uses the computer technology such as neural networks, cellular automata, etc for the spatial data analysis, geographic data assessment, storage and updating. GeoComputation seeks to investigate problems in geographic studies in their spatial context.

Photogrammetry:
Photogrammetry is the field of research in geographical sciences used for making measurements through photographs, for recovering surface points on earth. Photogrammetry uses high-speed imaging and remote sensing techniques to detect, measure and record complex 2-D and 3-D motion fields.

Geo-Data Techniques :

Geo-Data Techniques is the field of geography which uses various techniques for the collection, storage and updating of Geographic data obtained at several instincts for its future comparison with the advanced data.

Geodynamics

Geodynamics is the associated field of geophysics which deals with the earth dynamics in combination with fields of mathematics and chemistry. Geodynamics generally use data from geodetic GPS, InSAR, and seismology.

Geography Studies

Geography Studies is the science of dealing with the geography of Earth's landscapes, peoples, places and environments. Geography Studies include the studies of assessing environmental studies, spatial studies, satellite events etc.

Geophysical Modeling

Geophysical Modeling and Interpretation is the applied science of creating computerized representations of the Earth based on geophysical and geological observations and their interpretation results with the comparative studies. Geophysical Modeling and Interpretation deals with development, and evaluation of numerical models of the Earth system and its components.

Geothermal Engineering

Geothermal Engineering, field of engineering which deals with the thermal energy studies obtained from the earth. Temperature studies including studies of natural disasters can be assessed in geothermal studies.

Geostatistics

Geostatistics is the combined field of geography and statistics. Geostatistics focuses on modeling spatial data using spatiotemporal datasets. Geostatistics is used majorly in Epidemiology and planning studies.


Lineage ▼ ►

When the process occurred 2011-08-31 Description The GeoPDFs for this product are created as follows. All geospatial content is taken from national geospatial databases under the stewardship of USGS data programs. The NAIP imagery is provided by a seamless tile service that delivers image data at the resolution and quality of the source imagery. The raster and vector data, including grids and collar information, are processed using ESRI ArcGIS software and exported as a GeoPDF using the TerraGo ArcGIS software extension. Map formatting is performed using a custom application, which includes post-processing to embed the metadata XML document. GeoPDF is a copyrighted format, with implementation rights held exclusively by TerraGo Technologies. Any use of trade, product, or firm names in this publication is for descriptive purposes only and does not imply endorsement by the U.S. Government.

Description International Boundary between Mexico and the United States

Title U.S.-Mexico National Boundary Alternate titles U.S. / Mexico International Boundary Publication date 2006-01-01

Other citation details The international boundary between Mexico and the United States, defined as a joint venture between the U.S. Department of Agriculture (USDA) and the Instituto Nacional de Estadística y Geografía of Mexico (INEGI), resulted in an unofficial United States-Mexico boundary dataset that was further enhanced by the U.S. Geological Survey's Border Environmental Health Initiative (BEHI). With the data frame scale set to 1:5,000 in ArcMap, the center of the Rio Grande/Río Bravo was digitized using the NAIP 2004 Imagery. In areas with dense stands of salt cedar (bounding box = UL -104.714 30.038, UR -104.664 30.037, LR -104.666 29.933, LL -104.717 29.934 NAD83), the center of the channel was difficult, and sometimes impossible, to easily determine. To determine the location of the boundary, the GIS analyst compared the location of the line in the INEGI 1:250K Limite feature class with the NAIP 2004 Imagery and adjusted the boundary to the image, thus, the delineation of the international boundary is less certain in these areas. The remaining part of the border was extracted from the INEGI 1:250K Limite feature class and appended to the line feature class created along the Rio Grande/Río Bravo. The U.S. Geological Survey reviewed the original USDA data against 2007 NAIP imagery and further edited 9 line segments in the Rio Grande areas to conform to National Map Accuracy Standards.

Responsible party Organization's name U.S. Geological Survey, U.S. Department of Agriculture, and the Instituto Nacional de Estadística y Geografía of Mexico. Contact's role originator

Extent of the source data Description Temporal extent Beginning date 1972-01-01 Ending date 2006-01-01

Description Hydrography features and feature names

Resolution of the source data Scale denominator 24000
Source citation ▼ ►

Title Hydrography Alternate titles Hydrography Publication date 2009-08-28

Presentation formats digital map FGDC geospatial presentation format vector digital data

Other citation details The National Hydrography Dataset (NHD) is a feature-based database that interconnects and uniquely identifies the stream segments or reaches that make up the nation's surface water drainage system. The high-resolution NHD was originally created using 1:24,000-scale data. State and Local Stewards are improving the data by incorporating local updates based on more current and more accurate source data. Water features in the real world are relatively dynamic and the differences at the time of data collection mean that water features may not register exactly to other layers. The hydrographic feature names contained in and displayed by the NHD are extracted and validated from the Geographic Names Information System (GNIS).

Responsible party Organization's name U.S. Geological Survey in cooperation with U.S. Environmental Protection Agency, USDA Forest Service, and other Federal, State and local partners. National Hydrography Dataset is a component of a comprehensive base geospatial data model. Contact's role originator

Resource location online Location http://nhd.usgs.gov/
Resource location online Location http://nhd.usgs.gov/gnis.html
Resource location online Location http://nhdgeo.usgs.gov/metadata/nhd_high.htm

Extent of the source data Description Temporal extent Beginning date 2009-08-28 Ending date 2009-08-28

Description Road centerlines, route numbers, road classification, street names

Resolution of the source data Scale denominator 24000
Source citation ▼ ►

Title Transportation, USFS FSTopo roads Alternate titles Roads - USFS FSTopo Publication date 2009-01-01

Presentation formats digital map FGDC geospatial presentation format vector digital data

Other citation details The FSTopo database was originally populated with Cartographic Feature File (CFF) data. CFF data were derived from the standard Forest Service Primary Base Series (PBS) or Single Edition Series (SES) map as part of the Forest Service National Geographic Information System Plan. PBS and SES maps were developed from the U.S. Geological Survey 1:24,000-scale, 7.5-minute topographic map series, with enhancements and regular revisions to satisfy Forest Service needs. Except in Alaska, where 1:63,360-scale maps are used, the original USGS 1:24,000-scale source maps were constructed to meet National Map Accuracy Standards, which require that 90 percent of all well-defined features shown on the map are within .02 inches of their true location. CFF data were collected using methods and the best technologies available to ensure that digitized elements were captured within .003 inches of corresponding elements shown on source maps. The USDA Geospatial Service and Technology Center (GSTC) uses the same data collection accuracy standard for additions and revisions to the data. Only maps in USDA Forest Service areas will contain USDA Forest roads.

Responsible party Organization's name USFS Contact's role originator

Extent of the source data Description Temporal extent Beginning date 2009-01-01 Ending date 2009-01-01

Resolution of the source data Scale denominator 24000
Source citation ▼ ►

Title Hypsography Alternate titles Hypsography Publication date 2008-12-01

Presentation formats digital map FGDC geospatial presentation format Vector digital data

Other citation details This contour featureclass was generated from the 1/3 arc-second version of the National Elevation Dataset (NED). The intended viewing scale for these features is 1:24,000. The contours are derived from a filtered elevation raster to achieve smoother arcs. The NED data were modified by the National Hydrography Dataset (NHD) flow lines and water bodies to facilitate improved integration between the hypsography and hydrography on USGS map products. These contours were generated primarily for use as a layer in GeoPDFs created in the US Topo digital mapping program. The raster data source of contours is the National Elevation Dataset (NED) 1/3 arc-second layer. The 1/3 arc-second NED contains resampled data from the 1/9 arc-second layer of NED. Secondary datasets include the high resolution flow lines, water bodies, and areas from the National Hydrography Dataset (NHD). The NHD layers are used in hydro-enforcement of the DEM prior to contour generation. The goals of the hydro-enforcement are to prevent contour lines from extending over the surface of water bodies and to align the contour reentrants with the NHD single-line streams. The NED raster cells are converted to points. Those points, along with the NHD flow lines are input into an interpolation tool to create a new surface. The NHD water bodies and areas are preprocessed to attach the minimum and maximum elevation to each polygon. From these precalculated values, an appropriate value is calculated by which to raise the elevation cells under the NHD polygons. The NHD polygons are then converted into rasters, which in turn will be used to generate a mosaic that includes the new raster surface. The mosaic is filtered to provide smoother contour lines. Contours are generated and depression and index contours are identified. There is no guarantee or warranty concerning the accuracy of the data. Users should be aware that temporal changes may have occurred since these data were collected and generated and that some parts of these data may no longer represent actual surface conditions. Hydro-enforcement and generalization can also significantly alter the spatial characteristics of the contours. Users should not use these data for critical applications without a full awareness of its limitations.

Responsible party Organization's name USGS - National Elevation Dataset is a component of a comprehensive base geospatial data model. Contact's role originator

Resource location online Location http://ned.usgs.gov/

Extent of the source data Description Temporal extent Beginning date 2008-12-01 Ending date 2008-12-01

Description County and Equivalent Boundary

Title County and Equivalent Boundary Alternate titles County Boundaries Publication date 2010-01-01

Other citation details The Census Bureau collects boundaries from state and county governments through the Boundary and Annexation Survey (BAS), and publishes the results as TIGER files. The USGS uses Census TIGER data without editing or alteration for US Topo.

Responsible party Organization's name U.S. Census Bureau Contact's role originator

Extent of the source data Description Temporal extent Beginning date 2010-01-01 Ending date 2010-01-01

Description National Forest Service Boundaries

Resolution of the source data Scale denominator 24000
Source citation ▼ ►

Title USDA Forest Service Boundary Alternate titles USDA Forest Service Boundaries Publication date 2009-01-01

Other citation details The forest service boundaries defined by the USDA Forest Service encompassing the National Forest System (NFS) lands within the original proclaimed National Forests, along with lands added to the NFS which have taken on the status of 'reserved from the public domain' under the General Exchange Act. The following area types are included: National Forest, Experimental Area, Experimental Forest, Experimental Range, Land Utilization Project, National Grassland, Purchase Unit, and Special Management Area. The nationwide Proclaimed Forest dataset was created by the USDA Forest Service, Washington Office Automated Lands Program (ALP) staff from collected source data created by the Regional Offices. Only maps in USDA Forest Service areas will contain USDA Forest boundaries.

Responsible party Organization's name U.S. Department of Agriculture (USDA) Forest Service - Washington Office Automated Lands Program (ALP). Contact's role originator

Extent of the source data Description Temporal extent Beginning date 2009-01-01 Ending date 2009-01-01

Resolution of the source data Scale denominator 24000
Source citation ▼ ►

Title Orthoimagery Alternate titles Imagery Publication date 2009-09-01

FGDC geospatial presentation format Raster digital data or Digital Orthorectified Image or NAIP Digital Ortho Photo Image

Other citation details An orthorectified image is a layer in every product and is provided by the USDA-FSA-APFO from the National Agriculture Image Program (NAIP). This offers the USGS a nationally consistent image product, normally with a one meter resolution in natural color.

Responsible party Organization's name National Agriculture Image Program (NAIP) administered by the Aerial Photography Field Office (APFO) for the United States Department of Agriculture. Contact's role originator

Resource location online Location http://www.fsa.usda.gov/

Extent of the source data Description Temporal extent Beginning date 2009-08-28 Ending date 2009-09-01

Title Fire Stations Alternate titles Structures - Fire Stations Publication date 2010-01-01

Presentation formats digital map FGDC geospatial presentation format vector digital data

Other citation details Any location where fire fighters are stationed or based out of, or where equipment that such personnel use in carrying out their jobs is stored for ready use. Fire fighting training academies or locations are included. Fire Departments which are Mobile Units and not having a permanent location, are included, in which case their location has been depicted at the city/town hall or at the center of their service area if a city/town hall does not exist. This dataset includes those locations primarily engaged in forest or grasslands fire fighting, including fire lookout towers if the towers are in current use for fire protection purposes. This dataset includes both private and governmental entities. Locations that serve only administrative function are excluded. Locations serving both administrative and operational functions are included.

Responsible party Organization's name State and Federal Partners Contact's role originator

Extent of the source data Description Temporal extent Beginning date 2006-01-01 Ending date 2010-01-01

Description Road centerlines, route numbers, road classification, street names

Resolution of the source data Scale denominator 24000
Source citation ▼ ►

Title Transportation, commercial roads Alternate titles Roads - TomTom Publication date 2011-01-01

Presentation formats digital map FGDC geospatial presentation format vector digital data

Other citation details TomTom Multinet dataset, licensed to the USGS for use in US Topo (1:24,000-scale topographic maps in GeoPDF format). TomTom retains copyright to these data. The USGS license allows these data to be freely used and redistributed in US Topo instances, provided this copyright notice is retained. TomTom data are filtered and may be generalized by USGS for protrayal in this product. TomTom roads are not mixed with other road data sources within a 7.5-minute quadrangle, with the exception of U.S. Forest Service lands, where public domain data from the Forest Service are used.

Responsible party Organization's name TomTom Contact's role originator

Resource location online Location http://www.tomtom.com

Extent of the source data Description Temporal extent Beginning date 2006-01-01 Ending date 2011-01-01

Description International Boundary between Canada and the United States

Title U.S.-Canada National Boundary Alternate titles U.S. / Canada International Boundary Publication date 2006-01-01

Other citation details The international boundary dataset between Canada and the United States was provided by Maine Office of Geographic Information Systems (MEGIS), University of New Hampshire, Vermont Center for Geographic Information, Inc (VCGI). The dataset was collected from multiple source agencies such as the U.S. Geological Survey, U.S. Department of Commerce, Bureau of Census, Bureau of Parks and Lands, Coastal Island Registry (CIREG) and various state agencies. The data and attribution accuracy was tested by manual comparison of the source with hard copy printouts and/or symbolized display of digital files and corrected by each state GIS department for use at a scale not greater than 1:24,000.

Responsible party Organization's name International Boundary Commission Contact's role originator

Extent of the source data Description Temporal extent Beginning date 2006-01-01 Ending date 2006-01-01

Resolution of the source data Scale denominator 24000
Source citation ▼ ►

Title Airports Alternate titles Transportation - Airports Publication date 2010-01-01

Presentation formats digital map FGDC geospatial presentation format vector digital data

Other citation details Runway outlines are for Federal Aviation Administration (FAA)-recognized public and private airports in the United States. The 2008 FAA runway coordinates, FAA_RunwayID, and Airport Location Codes were used by the USGS to digitize runway outlines on recent NAIP orthoimagery. The digitized data were inspected for accuracy and completeness then loaded into the USGS national transportation database.

Responsible party Organization's name Federal Aviation Administration Contact's role originator

Resource location online Location http://www.faa.gov

Extent of the source data Description Temporal extent Beginning date 2008-01-01 Ending date 2010-01-01

Description National Landcover Dataset National Hydrography Dataset National Transportation Dataset

Resolution of the source data Scale denominator 24000
Source citation ▼ ►

Title Land Cover - Woodland Alternate titles Land Cover - Woodland Publication date 2011-01-01

Presentation formats digital map FGDC geospatial presentation format Vector digital data

Other citation details The Woodland is a derivative land cover product created using six national map layers: three National Land Cover Database (NLCD) 2001 raster layers (Tree Canopy, Imperviousness, and Land Cover) and three vector layers (National Hydrography Dataset, Transportation Roads, and Transportation Airports). The process begins with masking the NLCD 2001 Canopy Data with NLCD 2001 Imperviousness V1 (values from 1-100), and Land Cover V1 (value 11 = Open Water). The resulting raster data with canopy values of 20 and greater are converted to woodland vector polygons and smoothed via the Paek Algorithm. The woodland polygons are masked with buffered Transportation and Hydrography (NHD Areas and NHD Waterbodies excluding Swamp/Marsh). The resulting polygons are checked for scale appropriate size (minimum size of one acre), and the small woodland polygons as well as small clearings within the woodland polygons are deleted.

Responsible party Organization's name U.S. Geological Survey Contact's role originator

Extent of the source data Description Temporal extent Beginning date 2001-01-01 Ending date 2011-01-01

Description Geographic feature names

Resolution of the source data Scale denominator 24000
Source citation ▼ ►

Title Geographic Names Information System (GNIS) Alternate titles Geographic Names Publication date 2011-01-01

Presentation formats digital map FGDC geospatial presentation format vector digital data

Other citation details The National Geographic Names Database is a part of the Geographic Names Information System (GNIS) and represents the primary source for identifying official names. The system is maintained by the U.S. Geological Survey in cooperation with the U.S. Board of Geographic Names.

Responsible party Organization's name U.S. Geological Survey Contact's role originator

Extent of the source data Description Temporal extent Beginning date 2011-01-01 Ending date 2011-01-01

Description 2.5-minute geographic ticks, U.S. National Grid, UTM grid, State Plane Coordinate System ticks.

Title Grids and Coordinate System Alternate titles Grids and Coordinate Systems

Other citation details U.S. National Grid, UTM grid, and State Plane Coordinate System values are displayed along the map projection.

Responsible party Organization's name U.S. Geological Survey Contact's role originator

Extent of the source data Description Temporal extent Beginning date Indeterminate date Not Applicable Ending date Indeterminate date Not Applicable

Description State and Equivalent Boundary

Title State and Equivalent Boundary Alternate titles State Boundaries Publication date 2010-01-01

Other citation details The Census Bureau collects boundaries from state and county governments through the Boundary and Annexation Survey (BAS, http://www.census.gov/geo/www/bas/bashome.html), and publishes the results as TIGER files. The USGS uses the TIGER data without editing or alteration for US Topo.

Responsible party Organization's name U.S. Census Bureau Contact's role originator

Extent of the source data Description Temporal extent Beginning date 2010-01-01 Ending date 2010-01-01