2 GIS Data: Classification, Potential Misuse, and Practical Limitations Goals & Objectives Develop an easy to use geospatial data classification system Educate users on the potential misuse of geospatial data Explore practical limitations in using geospatial data
3 GIS Data: Classification United States National Map Accuracy Standards (NMAS) Defines accuracy standards for published maps, including horizontal and vertical accuracy, accuracy testing method, accuracy labeling on published maps, labeling when a map is an enlargement of another map, and basic information for map construction as to latitude and longitude boundaries. Horizontal accuracy. For maps on publication scales larger than 1:20,000, not more than 10 percent of the points tested shall be in error by more than 1/30 inch, measured on the publication scale; for maps on publication scales of 1:20,000 or smaller, 1/50 inch. Vertical accuracy, as applied to contour maps on all publication scales, shall be such that not more than 10 percent of the elevations tested shall be in error more than one-half the contour interval.
4 GIS Data: Classification ASPRS Accuracy Standards for Large-scale Maps A major feature of these ASPRS standards is that they indicate accuracy at ground scale. Thus, digital spatial data of known groundscale accuracy can be related to the appropriate map scale for graphic presentation at a recognized standard. Map accuracies can also be defined at lower spatial accuracy standards. Maps compiled within limiting rms errors of twice or three times the those allowed for a Class 1 map shall be designated Class 2 or Class 3 maps respectively. A map may be compiled that complies with one class of accuracy in elevation and an other in plan. Multiple accuracies on the same map are allowed provided a diagram is included which clearly relates segments of the map with the appropriate map accuracy class.
5 GIS Data: Classification National Standard for Spatial Data Accuracy (NSSDA) Implements a statistical and testing methodology for estimating the positional accuracy of points on maps and in digital geospatial data, with respect to georeferenced ground positions of higher accuracy. The NSSDA uses root-mean-square error (RMSE) to estimate positional accuracy. RMSE is the square root of the average of the set of squared differences between dataset coordinate values and coordinate values from an independent source of higher accuracy for identical points1. Accuracy is reported in ground distances at the 95% confidence level. Accuracy reported at the 95% confidence level means that 95% of the positions in the dataset will have an error with respect to true ground position that is equal to or smaller than the reported accuracy value. The reported accuracy value reflects all uncertainties, including those introduced by geodetic control coordinates, compilation, and final computation of ground coordinate values in the product.
6 GIS Data: Classification More on NSSDA A minimum of 20 check points shall be tested, distributed to reflect the geographic area of interest and the distribution of error in the dataset.4 When 20 points are tested, the 95% confidence level allows one point to fail the threshold given in product specifications. If accuracy reporting cannot be provided using NSSDA or other recognized standards, provide information to enable users to evaluate how the data fit their applications requirements. This information may include descriptions of the source material from which the data were compiled, accuracy of ground surveys associated with compilation, digitizing procedures, equipment, and quality control procedures used in production.
7 GIS Data: Classification A need to categorize and certify digital landbases R.Stricklan, 1998 Basic premise: There is a need for standardizing the uncertainty in digital landbases, enabling legislated definition of creation/permitted uses for those cadastral references. Although it would be impossible to verify positional accuracy of all digital landbase points, there should be some type of grading system that would quantify how closely any such landbase reference matched its original source documents and/or professionallyinterpreted intent of those documents. A proposed system of categorizing digital landbases based on their creation methodology and database structure (Stricklan, 1998): Class 1A: Temporally-complete, auto-refinable, COGO-created digital landbase using legal source documents, with inclusion of record/adjusted measurements as attribution linked to every cadastral line. Class 1B: Auto-refinable, COGO-created digital landbase using legal source documents, with inclusion of record/adjusted measurements as attribution linked to every cadastral line. (no temporal transactions included) Class 1C: COGO-created digital landbase using legal source documents, with inclusion of record/adjusted measurements as attribution linked to every cadastral line. (no auto-refinement nor temporal transactions included) Class 2A: Trace digitized from record plat maps; record measurements shown as annotation and stored as attribution. Class 2B: Trace digitized from record plat maps; record measurements shown as annotation only. Class 2C: Trace digitized from record plat maps; but no record measurements shown. Class 3A: Trace digitized from composite derived documents (e.g. assessor maps) other than record plats and descriptions; record measurements shown as annotation and stored as attribution. Class 3B: Trace digitized from composite derived documents; record measurements shown as annotation only. Class 3C: Trace digitized from composite derived documents; but no record measurements shown.
8 GIS Data: Classification APLS Geospatial Data Standards Standards for the acquisition and evaluation of geospatial data The main purpose of these standards is to provide guidance for developing the scope or statement of work for projects involving collection of spatial data. In all cases, accuracy shall be determined at the 95% confidence level both horizontally and vertically, including all accuracy values cited within these Standards. For datasets larger than or equal to 100 points but less than 1000 points, a minimum of 20 check points shall be used. For datasets of 1000 or more points, the number of check points shall be at least 2% of the total number of points in the dataset. For datasets of less than 100 points, the number of check points shall be specified in the project scope. The positional accuracy of polyline and polygon features shall be evaluated in the same manner as point features, by observation of discrete points on the perimeter of the feature. If more than one point is evaluated for a single polyline or polygon feature, the mean accuracy of the set of validation measurements shall be used to estimate the overall accuracy of the feature. The minimum number of check observations for each polyline or polygon feature shall be based on the number of vertices using the same criteria as for individual point features.
9 GIS Data: Classification The purpose of the rating system is to guide users in assessing the accuracy of geospatial data, thereby indicating to them the appropriate use of the data. Three categories of criteria: Who created the data. How they created the data. Measured Spatial Accuracy. Equipment and Process will determine the Class, also: (examples) A: High-order GPS/postprocessed to Class accuracy range. B: Medium to low-order GPS/optional post-processing; high to medium-grade orthophotography/field verified to stated accuracies. C: low-grade orthophotography/non-field verified; small-scale maps/heads-up or tablet digitized. Proposed Data Classification System (DRAFT) CLASS GRADE WHO HOW ACCURACY 1 RLS Field derived source - PP 1 +/- 1cm 2 RLS Field derived source +/- 1dm A B C D RLS GeoSpatial RLS GeoSpatial RLS GeoSpatial RLS GeoSpatial GeoSpatial Field Techs GIS Techs GeoSpatial Field Techs GIS Techs GeoSpatial Field Techs GIS Techs 1 Non-GeoSpatial 2 Non-GeoSpatial Field derived source Field derived source Ortho derived source Digitizing on A1 Field derived source Ortho derived source Other geo-referenced GIS Sources Field derived source Ortho derived source Other geo-referenced GIS Sources Ortho derived source Satellite imagery (georeferenced) USGS 7.5 USGS 15, 1:100K Other geo-referenced GIS Sources USGS 1:250K 3 rd party GIS data sets of stated accuracy Unknown 3 rd party GIS data sets of unknown accuracy +/- 1m +/- 3m +/- 5m +/- 10m unknown Unknown
10 GIS Data: Classification Data Input Methodologies Heads-up digitizing Screen digitizing over imagery (orthogonal, oblique, etc.) Semi-automatic feature extraction (ARAN van imagery, street-level views, etc.) Measured vs. visual GPS Resource-grade Survey-grade Techniques for high accuracy Post-processing Smart phones
11 Attribute Accuracy Logical Consistency Completeness Horizontal Positional Accuracy Vertical Positional Accuracy GIS Data: Classification Minnesota Geographic Metadata Guidelines Metadata An explanation of how accurately the entities have been identified or how accurately values have been assigned in the data set. This can be the results of quantitative analysis, steps taken to ensure accuracy during development, or known deficiencies. An indication of topological problems such as overshoots, undershoots, unwanted intersections, unclosed polygons, missing or duplicate labels, etc. Information about omissions, selection criteria, generalization, definitions used, and other rules used to derive the data set that may affect the completeness of content of the data. An explanation of the accuracy of the horizontal positions (coordinates) of spatial objects and a description of the tests or line of reasoning used to arrive at the estimate. An explanation of the accuracy of the vertical positions (coordinates) of spatial objects and a description of the tests or line of reasoning used to arrive at the estimate. Other important information: Descriptive name/ description/abstract Known errors and qualifications Feature type Projection File name Dates creation, update Contacts general, maintenance Availability Field metadata Feature metadata Lineage Source Scale Denominator Information about the sources of data used to construct the data set and steps used to process the data. For each processing step provide, where possible, the following: source data name, source data scale, source data date, description of processing steps performed, scanning or digitizing specifications, hardware & software used, processing tolerances, etc. The denominator of the representative fraction of source map(s). Please leave out commas (e.g not 24,000). Example: on a 1:24000 scale map, the Source Scale Denominator is 24000; on a 100 scale map (1 inch = 100 feet) the Source Scale Denominator is If no source maps were used, enter zero (e.g. GPS data). If multiple source map scales were used, enter the Source Scale Denominator of the smallest scale map (largest denominator).
12 GIS Data: Classification Proposed Data Classification System (DRAFT) To do: Complete the accuracy ranges Provide examples Emphasize the use of ground-based features and/or control for evaluating existing data, e.g. Ground Control Points, Photo Control Points, etc. Provide references to the Geospatial Data Standards for guidance Figure in imagery as a data creation/enhancement resource Propose as an addendum to the Spatial Data Standards Suggestions: How accurate do you think your data is? Add a metadata column to the matrix
13 GIS Data: Potential Misuse and Practical Limitations Boundary misinterpretation Assessor Record Map Especially when displayed on top of imagery Subdivision Plat Map How good is the data? How good is the imagery? Mixing scales? Different projections/coordinate systems?
14 GIS Data: Potential Misuse and Practical Limitations Census Blocks on Parcels Mixing Data Scales/Accuracy/Quality Parcels on NAIP imagery (+/- 15-feet) Miss-registered layers
15 GIS Data: Potential Misuse and Practical Limitations Mixing Data Scales/Accuracy/Quality Building roof lines, as captured from aerial imagery Planned features 2010 imagery, +/- 10-foot accuracy 2008 imagery, +/- 2-foot accuracy Spatial location differences between imagery Different image specifications Different image years Why so much imagery?
16 GIS Data: Potential Misuse and Practical Limitations Attribute Data Misinterpretation Data Normalization AREA PARCEL LANDFCV IMPFCV TOTALFCV C A A A A B A Divide all aggregated values by the frequency Know your table relationships: One-to-one One-to-many Many-to-many Many-to-one Data View Settings TOTAL_POP POP_DENS AREA_SQFT Data value is stored correctly, but is too small for the display setting
17 GIS Data: Potential Misuse and Practical Limitations Color/Symbology Misinterpretation Colors that are too alike (and patterns) Too many layers displayed together Colorblindness Grayscale Black & white
18 GIS Data: Potential Misuse and Practical Limitations Inappropriate Use for Regulatory Applications Floodplains? Development/building restrictions Zoning Overlay zones, e.g. hillside, riparian, etc. Building setbacks Density In/out/maybe zones of confidence FEMA floodplain changes Zones of confidence
19 GIS Data: Potential Misuse and Practical Limitations Inappropriate Measuring Inappropriate data accuracy/quality/classification Scale is too large Interpreted view, e.g. oblique, integrated into applications, street, etc. Know the source accuracy/classification to know if you are in the ball-park or better Oblique image ARAN van image
20 GIS Data: Potential Misuse and Practical Limitations Overstating the accuracy of the results Data accuracy/quality Vector Raster Elevation Area proportion overlays Mixed scales Attribute accuracy Ignoring topological errors Bad Analysis Practices
21 GIS Data: Potential Misuse and Practical Limitations Internal Use Only Data, That Gets Loose Critical Infrastructure and other DHS classified data Developmental/incomplete data sets Non-public data, e.g. health, public safety, etc.
22 GIS Data: Potential Misuse and Practical Limitations Projections and Coordinate Systems Metadata Projecting data Use correct Geographic Transformations Datum changes add complexity Projections/coordinate systems have a sweet spot or zone of best accuracy
23 GIS Data: Potential Misuse and Practical Limitations Data Creation Data input methodologies Data sources Classification Data Enhancement (or Degradation) Conflation Measured adjustment Data Dissemination Metadata Classification Disclaimers and data qualifications Scale-dependent viewing, e.g. layers are viewable within defined scale ranges Turn off boundaries at certain scales, especially when displayed against imagery Mixing scales
24 GIS Data: Potential Misuse and Practical Limitations Data Analysis Mixing scales Relative accuracy vs. absolute accuracy Projections and coordinate systems Data Reporting Attribute data accuracy Analyses results
25 GIS Data: Classification, Potential Misuse, and Practical Limitations Questions?
Subcommittee for Base Cartographic Data Federal Geographic Data Committee Federal Geographic Data Committee Department of Agriculture Department of Commerce Department of Defense Department of Energy Department
Commonwealth of Virginia Model Virginia Map Accuracy Standards Guideline Virginia Information Technologies Agency (VITA) Publication Version Control Publication Version Control: It is the user's responsibility
GEOGRAPHIC INFORMATION SYSTEMS CERTIFICATION GIS Syllabus - Version 1.2 January 2007 Copyright AICA-CEPIS 2009 1 Version 1 January 2007 GIS Certification Programme 1. Target The GIS certification is aimed
Title 10 DEPARTMENT OF NATURAL RESOURCES Division 35 Land Survey Chapter 1 Cadastral Mapping Standards 10 CSR 35-1.010 Application of Standards PURPOSE: These minimum standards provide the digital mapper
Title 10 DEPARTMENT OF NATURAL RESOURCES Division 35 Land Survey Chapter 1 Cadastral Mapping Standards 10 CSR 35-1.010 Application of Standards PURPOSE: These minimum standards provide the digital mapper
Introduction to GIS (Basics, Data, Analysis) & Case Studies 13 th May 2004 Content Introduction to GIS Data concepts Data input Analysis Applications selected examples What is GIS? Geographic Information
Objectives (Entry) Map Scanning and Automated Conversion This unit will introduce quick and less costly method of data capture - map scanning and automated conversion. This unit will briefly discuss about
Constructing an EA-level Database for the Census Amor Laaribi UN-GGIM Secretariat UN Statistics Division New York 1 Overview Stages in the Geographic Database Development Sources of geographic information
Guidance for Flood Risk Analysis and Mapping Changes Since Last FIRM May 2014 This guidance document supports effective and efficient implementation of flood risk analysis and mapping standards codified
Australian Map and Spatial Data Horizontal Accuracy Standard 2009 Subcommittee for Permanent Committee on Topographic Information Intergovernmental Committee on Surveying and Mapping Australian Map and
GIS Data Quality and Evaluation Tomislav Sapic GIS Technologist Faculty of Natural Resources Management Lakehead University The quality of GIS data gains in importance when considering some of the main
STATE OF NEVADA Department of Administration Division of Human Resource Management CLASS SPECIFICATION TITLE PHOTOGRAMMETRIST/CARTOGRAPHER V 39 6.102 PHOTOGRAMMETRIST/CARTOGRAPHER II 33 6.110 PHOTOGRAMMETRIST/CARTOGRAPHER
CITY OF SUFFOLK, VIRGINIA GIS DATA DISTRIBUTION AND PRICING POLICY 1 The City of Suffolk has invested a large amount of effort into the development of a Citywide Geographic Information System (GIS). The
Recent Advances in Geodesy and Geomatics Engineering Spatial data quality assessment in GIS DANIELA CRISTIANA DOCAN Surveying and Cadastre Department Technical University of Civil Engineering Bucharest
Implementation Planning presented by: Tim Haithcoat University of Missouri Columbia 1 What is included in a strategic plan? Scale - is this departmental or enterprise-wide? Is this a centralized or distributed
VT Center for Geographic Information Vermont GIS Parcel Data Standard Version 1.1 Release Date: November 2013 Acknowledgements This data standard was drafted by staff at the VT Center for Geographic Information
A Geographic Information System (GIS) integrates hardware, software, and data for capturing, managing, analyzing, and displaying all forms of geographically referenced information. GIS allows us to view,
What is GIS? Geographic Information Systems Introduction to ArcGIS A database system in which the organizing principle is explicitly SPATIAL For CPSC 178 Visualization: Data, Pixels, and Ideas. What Can
Page 1 of 10 GIS 101 - Introduction to Geographic Information Systems Last Revision or Approval Date - 9/8/2011 College of the Canyons SECTION A 1. Division: Mathematics and Science 2. Department: Earth,
Frequently Asked Questions: Wetlands Mapper December 2015 Mapper Content and Display How does the public access the new Mapper? The Wetlands Mapper can be found at: http://www.fws.gov/wetlands/ Does the
Reading Questions Week two Lo and Yeung, 2007: 2 19. Schuurman, 2004: Chapter 1. 1. What distinguishes data from information? How are data represented? 2. What sort of problems are GIS designed to solve?
CHAPTER 14 Orthophotography 14.1 GENERAL Today, many uses for geospatial mapping products require current planimetric feature data. Analysis and design from geospatial data sets generally require a known
GIS Spatial Data Standards Manatee County, FL GIS Section, Information Services Department TABLE OF CONTENTS I. Introduction 2 A. Purpose 2 B. Reference 2 II. Spatial Reference Information 2 A. Projection:
Standard on Digital Cadastral Maps and Parcel Identifiers APPROVED JULY 2003 INTERNATIONAL ASSOCIATION OF ASSESSING OFFICERS 1. Scope This standard provides recommendations on the development and maintenance
Geospatial Positioning Accuracy Standards Federal Geodetic Control Subcommittee Federal Geographic Data Committee Federal Geographic Data Committee Department of Agriculture Department of Commerce Department
Introduction to GIS 1 Introduction to GIS http://www.sli.unimelb.edu.au/gisweb/ Dr F. Escobar, Assoc Prof G. Hunter, Assoc Prof I. Bishop, Dr A. Zerger Department of Geomatics, The University of Melbourne
GEOGRAPHIC INFORMATION SYSTEMS Lecture 03: Introduction to Maps Introduction to Maps What is a map? - simple definition: a map is a scale model of the surface of the earth - like all scale models, a map
Metadata for Big River Watershed Geologic and Geomorphic Data Metadata are descriptions and information regarding compiled data. This appendix contains the metadata that describes the compiled data used
City of Tigard GIS Data Standards City of Tigard 13125 SW Hall Blvd Tigard, Oregon 97223 503 639-4171 Page 1 of 5 1.0 Purpose The purpose of these standards is to provide guidance for geospatial data development
REGIONAL SEDIMENT MANAGEMENT: A GIS APPROACH TO SPATIAL DATA ANALYSIS Lynn Copeland Hardegree, Jennifer M. Wozencraft 1, Rose Dopsovic 2 ABSTRACT: Regional sediment management (RSM) requires the capability
NJDEP GPS Data Collection Standards For GIS Data Development Bureau of Geographic Information Systems Office of Information Resource Management June 8, 2011 1.0 Introduction... 3 2.0 GPS Receiver Hardware
Introduction The following document is intended to provide a basic understanding of raster data. Raster data layers (commonly referred to as grids) are the essential data layers used in all tools developed
Oregon Geographic Information Council (OGIC) GIS Program Leaders Cartographic Elements Best Practices Version 1.0.7 Introduction The purpose of this document is to serve as a set of Oregon best practices
LIDAR and Digital Elevation Data Light Detection and Ranging (LIDAR) is being used by the North Carolina Floodplain Mapping Program to generate digital elevation data. These highly accurate topographic
ADWR GIS Metadata Policy 1 PURPOSE OF POLICY.. 3 INTRODUCTION.... 4 What is metadata?... 4 Why is it important? 4 When to fill metadata...4 STANDARDS. 5 FGDC content standards for geospatial metadata...5
Support Services Department Information Technologies Division Geographic Information System Product Distribution Policies Preface 1. Purpose Geographic Information System (GIS) Product Distribution Policies
Visualisation Developing a very high resolution DEM of South Africa by Adriaan van Niekerk, Stellenbosch University DEMs are used in many applications, including hydrology [1, 2], terrain analysis ,
International Journal of Engineering and Advanced Technology (IJEAT) Updation of Cadastral Maps Using High Resolution Remotely Sensed Data V. V.Govind Kumar, K. Venkata Reddy, Deva Pratap Abstract:A cadastral
RIGIS Standards for Digital Parcel Data Sets For Use in a Geographic Information System Revision: December 15, 2003 TABLE OF CONTENTS Preamble. 1 1. Introduction and Credits. 2 2. Purpose.. 3 3. Background.
GIS FINAL EXAM Projecting GIS data & map projections Plannimetric coordinates - systems that are expressed in measures of x and y values. Geographic coordinates - systems, on the other hand, are expressed
Autodesk Raster Design Getting the Most out of Raster Imagery in Autodesk Civil 3D Autodesk Raster Design is the solution for working with nonvector information within the Autodesk product family. Raster
Projections & GIS Data Collection: An Overview Projections Primary data capture Secondary data capture Data transfer Capturing attribute data Managing a data capture project Geodesy Basics for Geospatial
Positional Accuracy Handbook Using the National Standard for Spatial Data Accuracy to measure and report geographic data quality OCTOBER 1999 The Governor s Council on Geographic Information was created
CENTRAL OREGON COMMUNITY COLLEGE: GEOGRAPHIC INFORMATION SYSTEM PROGRAM 1 CENTRAL OREGON COMMUNITY COLLEGE Associate Degree Geographic Information Systems Program Outcome Guide (POG) Program Outcome Guide
Can GIS Help You Manage Water Resources? Erika Boghici Texas Natural Resources Information Systems Hydrologic Information System Hydrologic Modeling Arc Hydro Geodatabase Arc Hydro Data Model: combination
Assessing the implementation of Rawalpindi s Guided Development Plan through GIS and Remote Sensing Muhammad Adeel (Lecturer Muhammad Adeel, Institute of Geographical Information Systems, NUST, H-12 Islamabad,
GIS for Educators Topic 5: Raster Data Objectives: Keywords: Understand what raster data is and how it can be used in a GIS. Raster, Pixel, Remote Sensing, Satellite, Image, Georeference Overview: In the
GIS DATA CONVERSION QUALITY ASSURANCE AND DATABASE ACCEPTANCE AN OVERVIEW OF CONCEPTS AND PROCEDURES Prepared by: Peter Croswell PlanGraphics, Inc. 112 East Main Street Frankfort, Kentucky 40601-1806 2005
Page 1 of 9 CARLTON COUNTY Introduction: Many units of government in Minnesota are exploring new processes to provide public access to information created in their Geographic Information Systems (GIS).
GIS User Guide for the County of Calaveras Written by Dave Pastizzo GIS Coordinator Calaveras County San Andreas, California August 2000 Table of Contents Introduction..1 The Vision.1 Roles and Responsibilities...1
Adding Existing Data Into ArcGIS - there are many different ways to get data into ArcGIS GEOGRAPHIC INFORMATION SYSTEMS Lecture 20: Adding and Creating Data Add Data - normally we use the Add Data button
EXP: EXPERIENCE POINT PROCEDURE Use the EXP-W experience worksheets, EXP-P professional profiles and EXP-S summary sheet to document your GIS professional experience. The Experience Schedule (next page)
In this lesson you will create a Digital Elevation Model (DEM). A DEM is a gridded array of elevations. In its raw form it is an ASCII, or text, file. First, you will interpolate elevations on a topographic
Products > BYTES of the BIG APPLE TM Waterfront Access Plan Metadata nywap Data Format: Shapefile File or table name: nywap Data Projection: NAD_1983_StatePlane_New_York_Long_Island_FIPS_3104_Feet Coordinate
Scope of Services Phase 1A: Flood Damage Assessment Economic Analysis of the Delaware Bay Shoreline Adaptation Alternatives Task Order No. 1A Structures/Affected Property Inventory January 13, 2011 Johnson,
A User-Friendly Data Mining System J. Raul Ramirez, Ph.D. The Ohio State University Center for Mapping email@example.com 1. Introduction Image acquisition of the Earth's surface has become a common
EVALUATING REMOTELY SENSED IMAGES FOR USE IN INVENTORYING ROADWAY INFRASTRUCTURE FEATURES Sponsored by National Consortium on Remote Sensing in Transportation for Infrastructure University of California,
Remote Sensing, GPS and GIS Technique to Produce a Bathymetric Map Mark Schnur EES 5053 Remote Sensing Fall 2007 University of Texas at San Antonio, Department of Earth and Environmental Science, San Antonio,
GIS Digital Humanities Boot Camp Series GIS Fundamentals GIS Fundamentals Definition of GIS A geographic information system (GIS) is used to describe and characterize spatial data for the purpose of visualizing
GEOGRAPHIC INFORMATION SYSTEMS Lecture 05: Data Classification Types of Quantitative Thematic Maps (from last lecture) Demonstration: 48states > Layer Properties dialog box > Symbology tab - used to control
GIS GEOGRAPHIC INFORMATION SYSTEMS FOR CADASTRAL MAPPING Chapter 7 2015 Cadastral Mapping Manual 7-0 GIS - GEOGRAPHIC INFORMATION SYSTEMS What is GIS For a long time people have sketched, drawn and studied
AUTOMATION OF FLOOD HAZARD MAPPING BY THE FEDERAL EMERGENCY MANAGEMENT AGENCY Daniel M. Cotter Federal Emergency Management Agency Federal Insurance Administration Office of Risk Assessment 500 C Street,
Spatial Information Data Quality Guidelines Part of Victoria s Second Edition The Victorian Spatial Council was established under the Victorian Spatial Information Strategy 2004-2007 to support the advancement
LOJIC Online Map: An interactive mapping resource to support land planning and development. The LOJIC Online Map is accessible from the LOJIC website at www.lojic.org and is designed to support local land
GEOSCI/ENVIRON 118, Laboratory 2 Topographic Maps, page 1 Topographic Maps GEOSCI/ENVIRON 118 Laboratory Name: Section: This laboratory will introduce you to the basic features of maps, including methods
UTM, State Plane Coordinates & Map Scale Coordinate Systems - UTM Convenience of a plane rectangular grid on a global level A section from a transverse Mercator projection is used to develop separate grids
Department of Defence Defence Support and Reform Group Spatial Data Management Plan DRMS Document Id: R1830735 Version: 4.6.0 Status: Draft Dated: 01 March 2015 Produced for: Director SIM EXECUTIVE SUMMARY
1/22/2015 1 Quality Assessment in the framework of Map Generalization Lysandros Tsoulos - Natalia Blana NATIONAL TECHNICAL UNIVERSITY OF ATHENS 1/22/2015 2 Contents Introduction Components of Map/Chart
Town of Chatham Department of Community Development TOWN ANNEX 261 GEORGE RYDER ROAD 02633 CHATHAM, MA TELEPHONE (508) 945-5168 FAX (508) 945-5163 FEMA FLOOD MAP UPDATE & PROPOSED ZONING BYLAW AMENDMENT
Big Data and Analytics: Getting Started with ArcGIS Mike Park Erik Hoel Agenda Overview of big data Distributed computation User experience Data management Big data What is it? Big Data is a loosely defined
Jan Coyne, William C. Bell, Mary Maureen Brown, Chad Rupert, and James Nolan Geographic Information Systems A geographic information system (GIS) combines database management and analysis functions with
C H A P T E R 1 IDENTIFYING THE TYPE OF COORDINATE SYSTEM FOR DATA USING ARCMAP My boss told me to make a map using ArcMap, but when I add the data, I get an error message that says missing spatial reference
Getting the Map into the Computer Getting the Map into the Computer Getting Started with Geographic Information Systems Chapter 4 4.1 Analog-to-Digital Maps 4.2 Finding Existing Map Data 4.3 Digitizing
Career Service Authority Geographic Information System Technician Page 1 of 5 GENERAL STATEMENT OF CLASS DUTIES Performs standard level paraprofessional work compiling, verifying, maintaining and inputting
Geographic Information Systems In Emergency Management Prepared by: John C. Pine, Ed.D., Associate Professor, Institute for Environmental Studies, Louisiana State University, Baton Rouge, LA. Introduction
GIS GEOGRAPHIC INFORMATION SYSTEMS FOR CADASTRAL MAPPING Chapter 6 2015 Cadastral Mapping Manual 6-0 GIS - GEOGRAPHIC INFORMATION SYSTEMS What is GIS For a long time people have sketched, drawn and studied
Technology Trends In Geoinformation Dato Prof. Sr Dr. Abdul Kadir Bin Taib Department of Survey and Mapping Malaysia (JUPEM) Email: firstname.lastname@example.org www.jupem.gov.my NGIS 2008 3 rd. National GIS Conference
Database of the Mines and Prospects of Idaho Metadata: Identification_Information Data_Quality_Information Spatial_Data_Organization_Information Spatial_Reference_Information Entity_and_Attribute_Information
Cookbook 23 September 2013 GIS Analysis Part 1 - A GIS is NOT a Map! Overview 1. A GIS is NOT a Map! 2. How does a GIS handle its data? Data Formats! GARP 0344 (Fall 2013) Page 1 Dr. Carsten Braun 1) A
v Software Release Notice -. Acquired Software 1. Software Name: Software Version: ArcView GIs@ 3.3 2. Software Function: ArcView GIS 3.3, developed by Environmental Systems Research Institute, Inc. (ESRI@),
CHAPTER 16 Image Analysis 16.1 ANALYSIS PROCEDURES Studies for various disciplines require different technical approaches, but there is a generalized pattern for geology, soils, range, wetlands, archeology,
IP-S2 Compact+ 3D Mobile Mapping System 3D scanning of road and roadside features Delivers high density point clouds and 360 spherical imagery High accuracy IMU options without export control Simple Map,
Raster Data Structures Tessellation of Geographical Space Geographical space can be tessellated into sets of connected discrete units, which completely cover a flat surface. The units can be in any reasonable