2. Structures that Work | PostGIS Cookbook

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PostGIS Cookbook

By : Paolo Corti, Bborie Park

4.6 (12)

Buy this Book

PostGIS Cookbook

4.6 (12)

By: Paolo Corti, Bborie Park

Buy this Book

Overview of this book

An easy-to-use guide, full of hands-on recipes for manipulating spatial data in a PostGIS database. Each topic is explained and placed in context, and for the more inquisitive, there are more details of the concepts used. If you are a web developer or a software architect, especially in location-based companies, and want to expand the range of techniques you are using with PostGIS, then this book is for you. You should have some prior experience with PostgreSQL database and spatial concepts.

Preface

What this book covers

What you need for this book

Who this book is for

Conventions

Reader feedback

Customer support

Free Chapter

1. Moving Data In and Out of PostGIS

Introduction

Importing nonspatial tabular data (CSV) using PostGIS functions

Importing nonspatial tabular data (CSV) using GDAL

Importing shapefiles with shp2pgsql

Importing and exporting data with the ogr2ogr GDAL command

Handling batch importing and exporting of datasets

Exporting data to the shapefile with the pgsql2shp PostGIS command

Importing OpenStreetMap data with the osm2pgsql command

Importing raster data with the raster2pgsql PostGIS command

Importing multiple rasters at a time

Exporting rasters with the gdal_translate and gdalwarp GDAL commands

2. Structures that Work

Introduction

Using geospatial views

Using triggers to populate a geometry column

Structuring spatial data with table inheritance

Extending inheritance – table partitioning

Normalizing imports

Normalizing internal overlays

Using polygon overlays for proportional census estimates

3. Working with Vector Data – The Basics

Introduction

Working with GPS data

Fixing invalid geometries

GIS analysis with spatial joins

Simplifying geometries

Measuring distances

Merging polygons using a common attribute

Computing intersections

Clipping geometries to deploy data

Simplifying geometries with PostGIS topology

4. Working with Vector Data – Advanced Recipes

Introduction

Improving proximity filtering with KNN

Improving proximity filtering with KNN – advanced

Rotating geometries

Improving ST_Polygonize

Translating, scaling, and rotating geometries – advanced

Generating detailed building footprints from LiDAR

Using external scripts to embed new functionality in order to calculate a Voronoi diagram

Using external scripts to embed other libraries in order to calculate a Voronoi diagram – advanced

5. Working with Raster Data

Introduction

Getting and loading rasters

Working with basic raster information and analysis

Performing simple map-algebra operations

Combining geometries with rasters for analysis

Converting between rasters and geometries

Processing and loading rasters with GDAL VRT

Warping and resampling rasters

Performing advanced map-algebra operations

Executing DEM operations

Sharing and visualizing rasters through SQL

6. Working with pgRouting

Introduction

Startup – Dijkstra routing

Loading data from OpenStreetMap and finding the shortest path using A*

Driving distance/service area calculation

Calculating demographics using driving distance

Extracting the centerlines of polygons

7. Into the Nth Dimension

Introduction

Importing LiDAR data

Performing 3D queries on a LiDAR point cloud

Constructing and serving buildings 2.5 D

Using ST_Extrude to extrude building footprints

Creating arbitrary 3D objects for PostGIS

Exporting models as X3D for the Web

Reconstructing Unmanned Aerial Vehicle (UAV) image footprints with PostGIS 3D

UAV photogrammetry in PostGIS – point cloud

UAV photogrammetry in PostGIS – orthorectification

UAV photogrammetry in PostGIS – DSM creation

8. PostGIS Programming

Introduction

Writing PostGIS vector data with Psycopg

Writing PostGIS vector data with OGR Python bindings

Writing PostGIS functions with PL/Python

Geocoding and reverse-geocoding using the GeoNames datasets

Geocoding using the OSM datasets with trigrams

Geocoding with geopy and PL/Python

Importing netCDF datasets with Python and GDAL

9. PostGIS and the Web

Introduction

Creating WMS and WFS services with MapServer

Creating WMS and WFS services with GeoServer

Creating a WMS Time with MapServer

Consuming WMS services with OpenLayers

Consuming WMS services with Leaflet

Consuming WFS-T services with OpenLayers

Developing web applications with GeoDjango – part 1

Developing web applications with GeoDjango – part 2

10. Maintenance, Optimization, and Performance Tuning

Introduction

Organizing the database

Setting up the correct data privilege mechanism

Backing up the database

Using indexes

Clustering for efficiency

Optimizing SQL queries

Migrating a PostGIS database to a different server

Replicating a PostGIS database with streaming replication

11. Using Desktop Clients

Introduction

Adding PostGIS layers – QGIS

Using the Database Manager plugin – QGIS

Adding PostGIS layers – OpenJUMP GIS

Running database queries – OpenJUMP GIS

Adding PostGIS layers – gvSIG

Adding PostGIS layers – uDig

Index

PostGIS Cookbook

By : Paolo Corti, Bborie Park

PostGIS Cookbook

By: Paolo Corti, Bborie Park

Overview of this book

Chapter 2. Structures that Work

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