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GIS Tutorial II: Spatial Analysis Workbook [Minkštas viršelis]

4.13/5 (65 ratings by Goodreads)
  • Formatas: Paperback / softback, 424 pages, 427
  • Išleidimo metai: 30-Jun-2009
  • Leidėjas: ESRI Press
  • ISBN-10: 1589482018
  • ISBN-13: 9781589482012
  • Formatas: Paperback / softback, 424 pages, 427
  • Išleidimo metai: 30-Jun-2009
  • Leidėjas: ESRI Press
  • ISBN-10: 1589482018
  • ISBN-13: 9781589482012
Allen has more than 25 years of experience working with geographic information systems (GIS) and digital mapping in the private and municipal sectors. He provides this spatial analysis workbook for those who need to use ArcGIS tools to reveal hidden patterns in geospatial data. Designed as a companion volume to Andy Mitchells ESRI Guide to GIS Analysis, Volumes 1 & 2, this book contains specific exercises that illustrate proper classifications, assessment quantities and densities, location analysis, value comparison, change over time, geographic distribution, pattern analysis and cluster identification. Included with the book is a DVD-ROM containing a trial version of the ArcView 9.3 software and a second DVD with data for the tutorials. A separate DVD with a sample syllabus, course guide and answer key is available for instructors, and can be requested directly from ESRI Press. Annotation ©2009 Book News, Inc., Portland, OR (booknews.com) The first intermediate workbook in the GIS Tutorial series, GIS Tutorial for Spatial Analysis complements Andy Mitchells ESRI Guide to GIS Analysis, Volumes 1 & 2. Offering hands-on exercises that parallel the varied forms of spatial analysis in Mitchells books, this tutorial enables students to further develop their spatial thinking and GIS computer skills. These tutorial also supports the definition of critical thinking skills such as classification; assessment of quantities and densities; location analysis; change over time, location, and value comparisons; geographic distribution; pattern analysis; cluster identification; and problem solving. GIS Tutorial for Spatial Analysis is the perfect tool for anyone who is ready to take their knowledge of geographic information systems (GIS) technology to the next level. The first intermediate workbook in the GIS Tutorial series, GIS Tutorial for Spatial Analysis complements Andy Mitchells ESRI Guide to GIS Analysis, Volumes 1 and 2. Offering hands-on exercises that parallel the varied forms of spatial analysis in Mitchells books, this tutorial enables students to further develop their spatial thinking and GIS computer skills. This tutorial also supports the definition of critical thinking skills such as classification; assessment of quantities and densities; location analysis; change over time, location, and value comparisons; geographic distribution; pattern analysis; cluster identification; and problem solving.
Preface vii
Acknowledgments ix
Mapping where things are
1(40)
Working with categories
2(17)
Controling which values are displayed
19(8)
Limiting values to display
27(14)
Mapping the most and least
41(58)
Mapping quantities
42(16)
Choosing classes
58(20)
Creating a map series
78(13)
Working with charts
91(8)
Mapping density
99(30)
Density analysis
100(14)
Dot density maps
114(7)
Density surface
121(8)
Finding what's inside
129(26)
Overlay analysis
130(12)
Finding what's partially inside
142(13)
Finding what's nearby
155(100)
Selecting what's nearby
156(10)
Creating buffer features
166(11)
Clipping featuers
177(14)
Buffering values
191(6)
Multiple buffer zones
197(11)
Quanifying nearness
208(13)
Distance surfaces
221(10)
Calculating cost along a network
231(16)
Calculating nearness along a network
247(8)
Mapping change
255(32)
Mapping change in location
256(10)
Change in location and magnitude
266(9)
Percent change in value
275(12)
Measuring geographic distribution
287(40)
Calculating centers
288(9)
Weighted centers
297(7)
Standard distance
304(7)
Standard deviational ellipse
311(8)
Linear directional mean
319(8)
Analyzing patterns
327(44)
Average nearest neighbor
328(12)
Clustering of values
340(9)
Multidistance clustering
349(13)
Spatial autocorrelation
362(9)
Identifying clusters
371(18)
Cluster and outlier analysis
372(11)
Hot-spot analysis
383(6)
Appendix A Independent projects 389(4)
Appendix B Data source credits 393(4)
Appendix C Data license agreement 397(4)
Appendix D Installing data and software 401
David W. Allen, GISP, is the GIS manager for the City of Euless, Texas, where he designs data structures and custom applications. He has used his knowledge of GIS as an instructor at Tarrant County College for the past eight years, during which time he assisted in the development of a GIS degree program and worked to establish a state standard for GIS degree programs in Texas.