Using ArcGIS™ Spatial Analyst GIS by ESRI™ Jill McCoy and Kevin Johnston Copyright ' 2001 ESRI All rights reserved. Printed in the United States of America. The information contained in this document is the exclusive property of ESRI. This work is protected under United States copyright law and other international copyright treaties and conventions. No part of this work may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopying and recording, or by any information storage or retrieval system, except as expressly permitted in writing by ESRI. All requests should be sent to Attention: Contracts Manager, ESRI, 380 New York Street, Redlands, CA 92373-8100, USA. The information contained in this document is subject to change without notice. DATA CREDITS Quick-start tutorial data: courtesy of the State of Vermont Haul Cost Analysis map: Boise Cascade Corporation, Boise, Idaho Crime Analysis map: Philadelphia Police Department, Philadelphia, Pennsylvania Geopolitical map of Greece: Terra Ltd., Athens, Greece Joshua Tree National Park data: National Park Service, Department of the Interior, U.S. Government CONTRIBUTING WRITERS Steve Kopp, Brett Borup, Jason Willison, Bruce Payne U.S. GOVERNMENT RESTRICTED/LIMITED RIGHTS Any software, documentation, and/or data delivered hereunder is subject to the terms of the License Agreement. In no event shall the U.S. Government acquire greater than RESTRICTED/LIMITED RIGHTS. At a minimum, use, duplication, or disclosure by the U.S. Government is subject to restrictions as set forth in FAR §52.227-14 Alternates I, II, and III (JUN 1987); FAR §52.227-19 (JUN 1987) and/or FAR §12.211/12.212 (Commercial Technical Data/Computer Software); and DFARS §252.227-7015 (NOV 1995) (Technical Data) and/or DFARS §227.7202 (Computer Software), as applicable. Contractor/Manufacturer is ESRI, 380 New York Street, Redlands, CA 92373-8100, USA. ESRI and the ESRI globe logo are trademarks of ESRI, registered in the United States and certain other countries; registration is pending in the European Community. ArcMap, ArcGIS, and GIS by ESRI are trademarks and www.esri.com and www.arconline.esri.com are service marks of ESRI. Microsoft is a registered trademark and the Microsoft Internet Explorer logo is a trademark of Microsoft Corporation. HP and LaserJet are registered trademarks of Hewlett(cid:150) Packard. 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Attribution.p65 1 02/28/2001, 7:49 AM Contents Getting started 1 Introducing ArcGIS Spatial Analyst 3 Deriving information from data 4 Identifying spatial relationships 5 Finding suitable locations 6 Calculating cost of travel 7 Tips on learning Spatial Analyst 8 2 Quick-start tutorial 11 Exercise 1: Displaying and exploring your data 13 Exercise 2: Finding a site for a new school in Stowe, Vermont, USA 23 Exercise 3: Finding an alternative access road to the new school site 39 3 Modeling spatial problems 55 Modeling spatial problems 56 A conceptual model for solving spatial problems 58 Using the conceptual model to create a suitability map 61 Understanding rasters and analysis 4 Understanding raster data 73 Understanding a raster dataset 74 Coordinate space and the raster dataset 78 Discrete and continuous data 82 The resolution of a raster dataset 84 Raster encoding 85 Representing features in a raster dataset 86 Assigning attributes to a raster dataset 88 Using feature data directly in Spatial Analyst 89 Deriving raster datasets from existing maps 90 iii contents.p65 3 02/28/2001, 7:53 AM 12 5 Understanding cell-based modeling 91 Understanding analysis in Spatial Analyst 92 The operators and functions of Spatial Analyst 93 NoData and how it affects analysis 101 Values and what they represent 102 The analysis environment 104 The cell size and analysis 105 Handling projections during analysis 106 Performing analysis 6 Setting up your analysis environment 109 Creating temporary or permanent results 110 Specifying a location on disk for the results 112 Using an analysis mask 113 About the coordinate system and analysis 115 Setting the extent for results 116 Setting the cell size for results 117 7 Performing spatial analysis 119 Mapping distance 120 Straight line distance 121 Allocation 124 Cost weighted distance 126 Shortest path 131 Mapping density 133 Interpolating to raster 135 Inverse Distance Weighted 136 Spline 139 Kriging 141 Performing surface analysis 149 iv USING ARCGIS SPATIAL ANALYST contents.p65 4 02/28/2001, 7:53 AM Contour 151 Slope 153 Aspect 155 Hillshade 157 Viewshed 160 Cell statistics 162 Neighborhood statistics 164 Zonal statistics 168 Reclassification 171 The Raster Calculator 177 Conversion 184 Appendix A 189 Map Algebra language components 190 Map Algebra rules 197 Appendix B 201 Table of supported operators and precedence values 202 About precedence values 203 Appendix C 205 About remap tables 206 Slice and remap tables 210 Reclass and remap tables 213 Slice versus Reclass relative to remap tables 214 Glossary 215 Index 225 CONTENTS v contents.p65 5 02/28/2001, 7:53 AM contents.p65 6 02/28/2001, 7:53 AM Getting started Section 1 section1.p65 1 02/27/2001, 3:48 PM section1.p65 2 02/27/2001, 3:48 PM 1 Introducing ArcGIS Spatial Analyst IN THIS CHAPTER ESRIfi ArcGIS(cid:153) Spatial Analyst software helps you solve a wide range of spatial problems by providing you with powerful tools to perform spatial • Deriving information from data analysis. For example, you can create data such as a hillshade, identify spatial relationships between datasets, locate suitable sites, or find the best • Identifying spatial relationships route through a landscape. • Finding suitable locations (cid:149) Derive information. Use ArcGIS Spatial Analyst to create useful information from your data. Create a hillshade to provide a realistic • Calculating cost of travel backdrop of the terrain, or calculate slope to identify steep slopes. Identify • Tips on learning ArcGIS Spatial the distance or direction to each road, or calculate the population density Analyst over a region. (cid:149) Identify spatial relationships. Explore relationships between datasets. Find out if there is a relationship between outbreaks of leukemia and distance to nuclear power plants, or if aspect is important for the survival of a plant species. (cid:149) Find suitable locations. Suitable locations can be found by querying your data or by creating a suitability map. Query datasets to find locations over 3,000 feet in elevation and within five miles of a town, or create a suitability map by combining datasets to examine the suitability of every location. (cid:149) Calculate cost of travel. Calculate the accumulated cost of traveling across the landscape, then find the least-cost path from A to B. The next few pages introduce you to the sorts of analysis you can perform using Spatial Analyst. As you start to explore it for yourself, you will discover even more. 3 chp1.p65 3 02/27/2001, 5:20 PM Deriving information from data Take your elevation data and create: (cid:149) A hillshade to provide a realistic backdrop of the terrain (cid:149) A map displaying distance from roads to find the distance to travel to the nearest road (cid:149) A map displaying direction to roads to identify the compass direction from any location to the nearest road 4 USING ARCGIS SPATIAL ANALYST chp1.p65 4 02/27/2001, 3:50 PM
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