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E-raamat: GIS Tutorial for Health for ArcGIS Desktop 10.8

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  • Formaat: EPUB+DRM
  • Sari: GIS Tutorial
  • Ilmumisaeg: 04-May-2021
  • Kirjastus: Environmental Systems Research Institute Inc.,U.S.
  • Keel: eng
  • ISBN-13: 9781589486799
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GIS Tutorial for Health for ArcGIS Desktop 10.8Suurem pilt
  • Formaat: EPUB+DRM
  • Sari: GIS Tutorial
  • Ilmumisaeg: 04-May-2021
  • Kirjastus: Environmental Systems Research Institute Inc.,U.S.
  • Keel: eng
  • ISBN-13: 9781589486799
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GIS Tutorial for Health for ArcGIS Desktop 10.8 introduces readers to preparing, visualizing, and analyzing health data in a workbook designed for teaching with ArcGIS Desktop 10.8.



Knowing how technology can improve health research and health-care management applications has never been more important.

Geographic information systems (GIS) can provide health and human services professionals with the analysis and insights to make impactful, informed decisions about health care, health policy, and public health. Doing so starts with learning ArcGIS, the popular professional GIS application from Esri, using GIS Tutorial for Health for ArcGIS Desktop 10.8.

A workbook for learning the basics of ArcGIS within a health context, GIS Tutorial for Health for ArcGIS Desktop 10.8 introduces you to preparing, visualizing, and analyzing health data. Using a hands-on approach with real-world health-care scenarios that simulate how to develop and manage a GIS health project, the included exercises guide you to solve health problems using ArcGIS Desktop, specifically ArcMap.

You will learn:

  • the basics of mapmaking and how to use spatial and tabular data
  • how to design maps for a health study
  • how to apply spatial analysis tools for health studies
  • and more.

This sixth edition of GIS Tutorial for Health also includes updates for use with ArcGIS Desktop 10.8, an introduction to ArcGIS Online, and an international context using international health data.

Written by the authors of the popular GIS Tutorial series, GIS Tutorial for Health for ArcGIS Desktop 10.8 incorporates proven teaching methods in detailed exercises, "Your Turn" sections, and homework assignments. Suitable as both a computer lab textbook and for self-study, this book will give health management students and practitioners, health-care managers, IT specialists, and researchers the understanding and skill set to apply GIS to work in the health field.

Note: Esri Press e-books do not include 180-day trial software. Instead, you can download the ArcGIS Trial at http://www.esri.com/arcgis/trial.

Preface ix
Acknowledgments xi
Part 1 GIS benefits and map basics
1(96)
Chapter 1 Introducing GIS and health applications
1(42)
What is GIS?
1(6)
Summary of chapters
7(3)
Introduction to ArcGIS and map documents
10(2)
Learning about ArcGIS
Tutorial 1-1 Exploring the ArcCatalog user interface
12(4)
Tutorial 1-2 Reviewing data source types
16(2)
Tutorial 1-3 Exploring the ArcMap user interface
18(6)
Tutorial 1-4 Using and exporting a map
24(4)
Learning about GIS websites
28(9)
Tutorial 1-5 Creating and sharing map layers
28(6)
Tutorial 1-6 Using maps on smartphones and tablets
34(3)
Summary
37(6)
Assignment 1-1 Benchmark health GIS websites
38(1)
Assignment 1-2 Create a map using GIS websites
39(1)
Assignment 1-3 Create and upload layer packages
40(3)
Chapter 2 Visualizing health data
43(54)
Health-care scenario
43(1)
Solution approach
43(48)
Tutorial 2-1 Manipulating layers in a map document
44(11)
Tutorial 2-2 Zooming to and panning health features on a map
55(4)
Tutorial 2-3 Creating spatial bookmarks
59(1)
Tutorial 2-4 Identifying breast cancer mortality rates and deaths by state
60(5)
Tutorial 2-5 Selecting map features
65(7)
Tutorial 2-6 Finding map features
72(2)
Tutorial 2-7 Using an attribute table to select counties with high breast cancer rates
74(8)
Tutorial 2-8 Creating a new layer of a subset of features
82(1)
Tutorial 2-9 Creating a point map based on a definition query
83(3)
Tutorial 2-10 Labeling major cities in Texas
86(5)
Summary
91(6)
Assignment 2-1 Examine male lung cancer mortality rates by state
92(2)
Assignment 2-2 Examine male lung cancer mortality rates by county
94(3)
Part 2 Preparation of map data
97(142)
Chapter 3 Designing maps for a health study
97(42)
Health-care scenario
97(1)
Solution approach
97(36)
Tutorial 3-1 Creating a choropleth map for the uninsured population in Texas
99(7)
Tutorial 3-2 Creating a point map for the percentage of unemployed in Texas
106(3)
Tutorial 3-3 Making a scatterplot comparing uninsured with unemployed populations
109(3)
Tutorial 3-4 Working with layer files
112(2)
Tutorial 3-5 Creating print layouts for a health-care study
114(3)
Tutorial 3-6 Creating custom map layouts for multiple maps
117(8)
Tutorial 3-7 Exporting maps
125(3)
Tutorial 3-8 Creating multiple output pages
128(5)
Summary
133(6)
Assignment 3-1 Compare uninsured with minority populations in California counties
134(1)
Assignment 3-2 Compare Texas population density with housing statistics
135(2)
Assignment 3-3 Compare percentage in poverty with percentage unemployed
137(2)
Chapter 4 Projecting, downloading, and using spatial data
139(46)
Health-care scenarios
139(1)
Solution approaches
140(2)
World projections
142(11)
Tutorial 4-1 Exploring map projections for a world AIDS study
143(4)
Tutorial 4-2 Symbolizing area maps using size-graduated point markers
147(4)
Tutorial 4-3 Creating a prevalence map using point markers
151(2)
Country-level data and continental projections
153(7)
Tutorial 4-4 Downloading international HIV/AIDS data
154(4)
Tutorial 4-5 Exploring map projections for a US lung cancer study
158(2)
Local-level spatial data
160(18)
Tutorial 4-6 Adding and symbolizing existing map layers
160(5)
Tutorial 4-7 Working with spatial data formats
165(5)
Tutorial 4-8 Creating points from x,y coordinates
170(4)
Tutorial 4-9 Downloading USGS raster maps
174(4)
Summary
178(7)
Assignment 4-1 Compare world infant mortality rates with life expectancy
179(1)
Assignment 4-2 Investigate women who are literate and HIV prevalence by country
180(2)
Assignment 4-3 Compare the walkability of neighborhoods
182(3)
Chapter 5 Downloading and preparing spatial and tabular data
185(18)
Health-care scenario
185(1)
Solution approach
185(15)
Tutorial 5-1 Building a lead study comparison map
187(3)
Tutorial 5-2 Showing elevated blood lead levels by tract
190(4)
Tutorial 5-3 Showing elevated blood lead levels by municipality and neighborhood
194(6)
Summary
200(3)
Assignment 5-1 Map housing complaints compared with elevated blood lead levels
201(2)
Chapter 6 Geocoding tabular data
203(36)
Health-care scenario
203(1)
Solution approach
203(1)
Polygon address matching
204(11)
Tutorial 6-1 Geocoding patients to zip codes
204(7)
Tutorial 6-2 Spatially joining patient and zip code layers
211(2)
Tutorial 6-3 Creating a choropleth map showing patient counts by zip code
213(2)
Linear address matching
215(19)
Tutorial 6-4 Geocoding hospital addresses to streets for competitive analysis
215(8)
Tutorial 6-5 Rematching addresses
223(10)
Tutorial 6-6 Creating a final comparison map
233(1)
Summary
234(5)
Assignment 6-1 Map mammography clinics by zip code compared with female population
234(2)
Assignment 6-2 Map mammography clinics in a county by street address
236(3)
Part 3 Spatial analysis
239
Chapter 7 Processing and analyzing spatial data
239(46)
Health-care scenario
239(1)
Solution approach
240(39)
Tutorial 7-1 Preparing a study region
242(12)
Tutorial 7-2 Making additional table and map preparations
254(8)
Tutorial 7-3 Investigating the correlation between poverty and injuries
262(11)
Tutorial 7-4 Investigating injuries near parks
273(6)
Summary
279(6)
Assignment 7-1 Conduct proximity analysis for playgrounds
280(1)
Assignment 7-2 Map injuries near schools and convenience stores
281(2)
Assignment 7-3 Study injury rates by neighborhood
283(2)
Chapter 8 Transforming data using approximate methods
285
Health-care scenarios
285(1)
Solution approach
286(36)
Tutorial 8-1 Aggregating block data for the elderly population to health referral regions
288(6)
Tutorial 8-2 Apportioning poverty data to emergency medical service zones
294(19)
Tutorial 8-3 Automating processes using ArcGIS ModelBuilder
313(9)
Summary
322
Assignment 8-1 Map the population in emergency medical service zones
323(1)
Assignment 8-2 Map the youth poverty population in emergency medical service zones
324
Kristen S. Kurland is a Teaching Professor of Architecture, Information Systems, and Public Policy at the H. John Heinz III College and School of Architecture, Carnegie Mellon University, where she teaches GIS, building information modeling, computer-aided design, 3D visualization, infrastructure management, and enterprise data analytics. 

Wilpen L. Gorr is emeritus professor of public policy and management information systems at the School of Public Policy and Management, H. John Heinz III College, Carnegie Mellon University, where he taught and researched GIS applications. He was also chairman of the schools Master of Science in Public Policy and Management program and editor of the International Journal of Forecasting. 
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