Verfügbarkeit: PostGIS Cookbook

PostGIS Cookbook: store, organize, manipulate, and analyze spatial data

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Bibliographische Detailangaben
1. Verfasser:	Zurbarán, Mayra (VerfasserIn)
Format:	Buch
Sprache:	English
Veröffentlicht:	Birmingham ; Mumbai Packt March 2018
Ausgabe:	Second edition
Schlagworte:	Geoinformationssystem Geoinformatik Datenbanksystem
Online-Zugang:	Inhaltsverzeichnis Klappentext
Beschreibung:	x, 565 Seiten Illustrationen, Karten
ISBN:	9781788299329

Internformat

MARC


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Datensatz im Suchindex

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adam_text	Table of Contents Preface________________________________________________________________i Chapter 1: Moving Data in and Out of PostGIS 9 Introduction 9 Importing nonspatial tabular data (CSV) using PostGIS functions 10 Getting ready 10 How to do it... 11 How it works... 15 Importing nonspatial tabular data (CSV) using GDAL 16 Getting ready ie How to do it... 17 How it works... 21 Importing shapefiles with shp2pgsql 23 How to do it... 23 How it works... 26 There s more... 27 Importing and exporting data with the ogr2ogr GDAL command 27 How to do it... 27 How it works... 31 See also 33 Handling batch importing and exporting of datasets 33 Getting ready 34 How to do it... 34 How it works... 41 Exporting data to a shapefile with the pgsql2$hp PostGIS command 42 How to do it... 42 How it works... 44 Importing OpenStreetMap data with the osm2pgsql command 44 Getting ready 44 How to do it... 45 How it works... 48 Importing raster data with the raster2pgsql PostGIS command 48 Getting ready 49 How to do it... 50 How it works... 55 Importing multiple rasters at a time 56 Getting ready 57 How to do it... 57 How it works... 63 Table of Contents Exporting rasters with the gdal_translate and gdalwarp GDAL commands 64 Getting ready 64 How to do it... 65 How it works... 66 See also 66 Chapter 2: Structures That Work 67 Introduction 67 Using geospatial views 68 Getting ready 68 How to do it... 69 How it works... 70 There s more... 70 See also 71 Using triggers to populate the geometry column 71 Getting ready 71 How to do it... 72 There s more... 73 Extending further... 74 See also 75 Structuring spatial data with table inheritance 75 Getting ready 76 How to do it... 81 How it works... 83 See also 84 Extending inheritance - table partitioning 84 Getting ready 84 How to do it... 85 How it works... 88 See also 89 Normalizing imports 89 Getting ready 90 How to do it... 91 How it works... 94 There s more... 95 Normalizing internal overlays 96 Getting ready 96 How to do it... 96 How it works... 100 There’s more... 100 Using polygon overlays for proportional census estimates 100 Getting ready 100 How to do it... 105 How it works... 106 Table of Contents Chapter 3: Working with Vector Data - The Basics 107 Introduction 107 Working with GPS data 108 Getting ready 109 How to do it... 109 How it works... 114 Fixing invalid geometries 116 Getting ready 116 How to do it... 116 How it works... 119 GIS analysis with spatial joins 120 Getting ready 120 How to do it... 123 How it works... 127 Simplifying geometries 128 How to do it... 128 How it works... 135 Measuring distances 136 Getting ready 136 How to do it... 136 How it works... 139 Merging polygons using a common attribute 140 Getting ready 140 How to do it... 141 How it works... 142 Computing intersections 142 Getting ready 143 How to do it... 143 How it works... 146 Clipping geometries to deploy data 147 Getting ready 147 How to do it... 148 How it works... 150 Simplifying geometries with PostGIS topology 151 Getting ready 151 How to do it... 152 How it works... 158 Chapter 4: Working with Vector Data - Advanced Recipes 159 Introduction 159 Improving proximity filtering with KNN 160 Getting ready 161 How to do it... 161 How it works... 164 [iii] Table of Contents See also 164 Improving proximity filtering with KNN - advanced 165 Getting ready 166 How to do it... 167 How it works... 168 See also 168 Rotating geometries 169 Getting ready 169 How to do it... 169 How it works... 170 See also 171 Improving ST_Polygonize 171 Getting ready 172 How to do it... 172 See also 173 Translating, scaling, and rotating geometries - advanced 173 Getting ready 174 How to do it... 175 How it works... 178 See also 179 Detailed building footprints from LiDAR 179 Getting ready 180 How to do it... 181 How it works... 183 Creating a fixed number of clusters from a set of points 184 Getting ready 184 How to do it... 185 Calculating Voronoi diagrams 186 Getting ready 187 How to do it... 188 Chapter 5: Working with Raster Data 191 Introduction 191 Getting and loading rasters 192 Getting ready 193 How to do it... 193 How it works... 197 Working with basic raster information and analysis 197 Getting ready 197 How to do it... 197 How it works... 202 Performing simple map-algebra operations 203 Getting ready 203 How to do it... 203 How it works... 208 --------------------------------------- [iv] ------------------------------------------ Table of Contents Combining geometries with rasters for analysis 208 Getting ready 208 How to do it... 209 How it works... 210 Converting between rasters and geometries 211 Getting ready 211 How to do it... 211 How it works... 215 Processing and loading rasters with GDAL VRT 215 Getting ready 215 How to do it... 216 How it works... 219 Warping and resampling rasters 220 Getting ready 220 How to do it... 220 How it works... 223 Performing advanced map-algebra operations 223 Getting ready 223 How to do it... 224 How it works... 229 Executing DEM operations 229 Getting ready 229 How to do it... 230 How it works... 232 Sharing and visualizing rasters through SQL 232 Getting ready 233 How to do it... 233 How it works... 236 Chapter 6: Working with pgRouting 237 Introduction 237 Startup - Dijkstra routing 238 Getting ready 238 How to do it... 239 Loading data from OpenStreetMap and finding the shortest path using A* 242 Getting ready 242 How to do it... 243 How it works... 245 Calculating the driving distance/service area 247 Getting ready 247 How to do it... 247 See also 252 Calculating the driving distance with demographics 253 -------------------------------------- [v] ----------------------------------------- Table of Contents Getting ready 253 How to do it... 254 Extracting the centerlines of polygons 257 Getting ready 260 How to do it... 261 There s more... 264 Chapter 7: Into the Nth Dimension 267 Introduction 267 Importing UDAR data 268 Getting ready 268 How to do it... 269 See also 271 Performing 3D queries on a LiDAR point cloud 271 How to do it... 272 Constructing and serving buildings 2.5D 274 Getting ready 274 Howto do it... 280 Using ST_Extrude to extrude building footprints 281 Howto do it... 282 Creating arbitrary 3D objects for PostGIS 282 Getting ready 283 How to do it... 283 Exporting models as X3D for the web 286 Getting ready 286 How to do it... 287 There s more... 289 Reconstructing Unmanned Aerial Vehicle (UAV) image footprints with PostGIS 3D 290 Getting started 290 How to do it... 292 UAV photogrammetry in PostGIS - point cloud 297 Getting ready 297 How to do it... 297 UAV photogrammetry in PostGIS - DSM creation 298 Getting ready 299 How to do it... 299 Chapter 8: PostGIS Programming 301 Introduction 301 Writing PostGIS vector data with Psycopg 304 Getting ready 305 How to do it... 305 How it works... 310 Writing PostGIS vector data with OGR Python bindings 311 ------------------------------------ [vi] -------------------------------------- Table of Contents Getting ready 312 How to do it... 313 How it works... 318 Writing PostGIS functions with PL/Python 319 Getting ready 319 How to do it... 320 How it works... 323 Geocoding and reverse geocoding using the GeoNames datasets 324 Getting ready 324 How to do it... 324 How it works... 329 Geocoding using the OSM datasets with trigrams 330 Getting ready 330 How to do it... 331 How it works... 336 Geocoding with geopy and PL/Python 337 Getting ready 337 HOW tO dO it... 338 How it works... 341 Importing NetCDF datasets with Python and GDAL 341 Getting ready 342 How to do it... 343 How it works... 349 Chapter 9: PostGIS and the Web 351 Introduction 351 Creating WMS and WFS services with MapServer 352 Getting ready 353 How to do it... 355 How it works... 367 See also 369 Creating WMS and WFS services with GeoServer 369 Getting ready 370 How to do it... 370 How it works... 384 See also 385 Creating a WMS Time service with MapServer 385 Getting ready 386 How to do it... 387 How it works... 392 Consuming WMS services with OpenLayers 393 Getting ready 393 How to do it... 394 How it works.. 399 Consuming WMS services with Leaflet 399 -------------------------------------- [vii] --------------------------------------- Table of Contents How to do it,,. 399 How it works... 403 Consuming WFS-T services with OpenLayers 404 Getting ready 404 How to do it... 405 How it works... 408 Developing web applications with GeoDjango - part 1 410 Getting ready 410 How to do it... 412 How it works... 423 Developing web applications with GeoDjango - part 2 425 Getting ready 425 How to do it... 426 How it works... 431 Developing a web GPX viewer with Mapbox 431 How to do it... 431 How it works... 435 Chapter 10: Maintenance, Optimization, and Performance Tuning 437 Introduction 437 Organizing the database 438 Getting ready 438 How to do it... 438 How it works... 442 Setting up the correct data privilege mechanism 442 Getting ready 443 How to do it... 443 How it works... 448 Backing up the database 449 Getting ready 449 How to do it... 449 How it works... 451 Using indexes 452 Getting ready 453 How to do it... 453 How it works... 456 Clustering for efficiency 456 Getting ready 456 How to do it... 457 How it works... 457 Optimizing SQL queries 458 Getting ready 458 How to do it... 459 How it works... 466 Migrating a PostGIS database to a different server 468 ---------------------------------------[viii]------------------------------------------ Table of Contents Getting ready 468 How to do it... 468 How it works... 470 Replicating a PostGIS database with streaming replication 470 Getting ready 471 How to do it... 471 How it works... 475 Geospatial sharding 476 Getting ready 476 How to do it... 476 How it works... 483 Paralellizing in PosgtreSQL 483 Getting ready 483 How to do it... 484 How it works... 488 Chapter 11: Using Desktop Clients 489 Introduction 489 Adding PostGIS layers - QGIS 490 Getting ready 490 How to do it... 491 How it works... 496 Using the Database Manager plugin - QGIS 497 Getting ready 497 How to do it... 500 How it works... 507 Adding PostGIS layers - OpenJUMP GIS 508 Getting ready 508 How to do it... 509 How it works... 514 Running database queries - OpenJUMP GIS 515 Getting ready 515 How to do it... 515 How it works... 519 Adding PostGIS layers - gvSIG 520 Getting ready 520 How to do it... 520 How it works... 524 Adding PostGIS layers - uDig 524 How to do it... 525 How it works... 529 Chapter 12: Introduction to Location Privacy Protection Mechanisms 531 Introduction 531 Definition of Location Privacy Protection Mechanisms - LPPMs 532 --------------------------------------- [ix] ------------------------------------------ Table of Contents Classifying LPPMs 533 Adding noise to protect location data 535 Getting ready 538 How to do it... 539 How it works... 544 Creating redundancy in geographical query results 545 Getting ready 548 How to do it... 549 How it works... 554 References 554 Other Books You May Enjoy_________________________________________________________557 Index 559 [x] PostCIS Cookbook - Second Edition PostGIS is a spatial database that integrates advanced storage and analysis of vector and raster data, and is remarkably flexible and powerful. PostGIS provides support for geographic objects in the PostgreSQL object-relational database and is currently the most popular open source spatial database. This book is a comprehensive guide to the PostGIS tools and concepts that are required to manage, manipulate, and analyze spatial data in PostGIS. It covers key spatial data manipulation tasks, explaining not only how each task is performed, but also why. It provides practical guidance, allowing you to safely take advantage of the advanced technology offered by PostGIS in order to simplify your spatial database administration tasks. Furthermore, you will learn to take advantage of basic and advanced vector, raster, and routing approaches, along with the concepts of data maintenance, optimization, and performance, which will help you to integrate these into a large ecosystem of desktop and web tools. By the end of this book, you will be armed with all the tools and instructions you need to both manage your spatial database system and make better decisions as your project s requirements evolve. Things you will learn: • Import and export geographic data from the PostGIS database using the available tools • Structure spatial data using the functionality provided by the combination of PostgreSQL and PostGIS • Work with a set of PostGIS functions to perform basic and advanced vector analyses • Connect PostGIS with Python • Learn to use programming frameworks with PostGIS • Maintain, optimize, and fine-tune spatial data for long-term viability • Explore the 3D capabilities of PostGIS, including LiDAR point clouds and point clouds derived from Structure from Motion (SfM) techniques • Distribute 3D models on the web using the X3D standard • Use PostGIS to develop powerful GIS web applications using Open Geospatial Consortium web standards
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title	PostGIS Cookbook store, organize, manipulate, and analyze spatial data
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title_full	PostGIS Cookbook store, organize, manipulate, and analyze spatial data Mayra Zurbarán, Pedro M. Wightman, Paolo Corti, Stephen Vincent Mather, Thomas J Kraft, Bborie Park
title_fullStr	PostGIS Cookbook store, organize, manipulate, and analyze spatial data Mayra Zurbarán, Pedro M. Wightman, Paolo Corti, Stephen Vincent Mather, Thomas J Kraft, Bborie Park
title_full_unstemmed	PostGIS Cookbook store, organize, manipulate, and analyze spatial data Mayra Zurbarán, Pedro M. Wightman, Paolo Corti, Stephen Vincent Mather, Thomas J Kraft, Bborie Park
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