Python geospatial development learn to build sophisticated mapping applications from scratch using Python tools for geospatial development 2nd Edition by Erik Westra ISBN 178216152X 9781782161523 by Westra, Erik 9781782161523, 178216152X instant download after payment.

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ISBN 10: 178216152X 
ISBN 13: 9781782161523
Author: Erik Westra

Geospatial development links your data to places on the Earth's surface. Writing geospatial programs involves tasks such as grouping data by location, storing and analyzing large amounts of spatial information, performing complex geospatial calculations, and drawing colorful interactive maps. In order to do this well, you'll need appropriate tools and techniques, as well as a thorough understanding of geospatial concepts such as map projections, datums and coordinate systems. Python Geospatial Development - Second Edition teaches you everything you need to know about writing geospatial applications using Python. No prior knowledge of geospatial concepts, tools or techniques is required. The book guides you through the process of installing and using various toolkits, obtaining geospatial data for use in your programs, and building complete and sophisticated geospatial applications in Python. Python Geospatial Development teaches you everything you need to know about writing geospatial applications using Python. No prior knowledge of geospatial concepts, tools or techniques is required. The book guides you through the process of installing and using various toolkits, obtaining geospatial data for use in your programs, and building complete and sophisticated geospatial applications in Python. This book provides an overview of the major geospatial concepts, data sources and toolkits. It teaches you how to store and access spatial data using Python, how to perform a range of spatial calculations, and how to store spatial data in a database. Because maps are such an important aspect of geospatial programming, the book teaches you how to build your own “slippy map” interface within a web application, and finishes with the detailed construction of a geospatial data editor using Geodjango. Whether you want to write quick utilities to solve spatial problems, or develop sophisticated web applications based around maps and geospatial data, this book includes everything you need to know.

Python geospatial development learn to build sophisticated mapping applications from scratch using Python tools for geospatial development 2nd Table of contents:

1. Geospatial Development Using Python
Python
Geospatial development
Applications of geospatial development
Analyzing geospatial data
Visualizing geospatial data
Creating a geospatial mash-up
Recent developments
Summary
2. GIS
Core GIS concepts
Location
Distance
Units
Projections
Cylindrical projections
Conic projections
Azimuthal projections
The nature of map projections
Coordinate systems
Datums
Shapes
GIS data formats
Working with GIS data manually
Summary
3. Python Libraries for Geospatial Development
Reading and writing geospatial data
GDAL/OGR
GDAL design
GDAL example code
OGR design
OGR example code
Documentation
Availability
Dealing with projections
pyproj
Design
Proj
Geod
Example code
Documentation
Availability
Analyzing and manipulating geospatial data
Shapely
Design
Example code
Documentation
Availability
Visualizing geospatial data
Mapnik
Design
Example code
Documentation
Availability
Summary
4. Sources of Geospatial Data
Sources of geospatial data in vector format
OpenStreetMap
Data format
Obtaining and using OpenStreetMap data
The OpenStreetMap API
Planet.osm
Mirror sites and extracts
Working with OpenStreetMap data
TIGER
Data format
Obtaining and using TIGER data
Natural Earth
Data format
Obtaining and using Natural Earth vector data
Global, self-consistent, hierarchical, high-resolution shoreline database (GSHHS)
Data format
Obtaining the GSHHS database
World Borders Dataset
Data format
Obtaining World Borders Dataset
Sources of geospatial data in raster format
Landsat
Data format
Obtaining Landsat imagery
Natural Earth
Data format
Obtaining and using Natural Earth raster data
Global Land One-kilometer Base Elevation (GLOBE)
Data format
Obtaining and using GLOBE data
National Elevation Dataset (NED)
Data format
Obtaining and using NED data
Sources of other types of geospatial data
GEOnet Names Server
Data format
Obtaining and using GEOnet Names Server data
Geographic Names Information System (GNIS)
Data format
Obtaining and using GNIS Data
Choosing your geospatial data source
Summary
5. Working with Geospatial Data in Python
Pre-requisites
Reading and writing geospatial data
Task – calculate the bounding box for each country in the world
Task – save the country bounding boxes into a shapefile
Task – analyze height data using a digital elevation map
Changing datums and projections
Task – change projections to combine shapefiles using geographic and UTM coordinates
Task – change datums to allow older and newer TIGER data to be combined
Representing and storing geospatial data
Task – define the border between Thailand and Myanmar
Task – save geometries into a text file
Performing geospatial calculations
Task – identify parks in or near urban areas
Converting and standardizing units of geometry and distance
Task – calculate the length of the Thai-Myanmar border
Task – find a point 132.7 kilometers west of Soshone, California
Exercises
Summary
6. GIS in the Database
Spatially-enabled databases
Spatial indexes
Open source spatially-enabled databases
MySQL
PostGIS
Installing and configuring PostGIS
Using PostGIS
Documentation
Advanced PostGIS features
SpatiaLite
Installing SpatiaLite
Installing pysqlite
Accessing SpatiaLite from Python
Documentation
Using SpatiaLite
SpatiaLite capabilities
Commercial Spatially-enabled databases
Oracle
MS SQL Server
Recommended best practices
Using the database to keep track of spatial references
Using the appropriate spatial reference for your data
Option 1 – using a database that supports geographies
Option 2 – transforming features as required
Option 3 – transforming features from the outset
When to use unprojected coordinates
Avoiding on-the-fly transformations within a query
Don't create geometries within a query
Using spatial indexes appropriately
Knowing the limits of your database's query optimizer
MySQL
PostGIS
SpatiaLite
Working with geospatial databases using python
Prerequisites
Working with MySQL
Working with PostGIS
Working with SpatiaLite
Comparing the databases
Summary
7. Working with Spatial Data
About DISTAL
Designing and building the database
Downloading the data
World Borders Dataset
GSHHS
GNIS
GEOnet Names Server
Importing the data
World Borders Dataset
GSHHS
US place name data
Worldwide place name data
Implementing the DISTAL application
The shared "database" module
The "select country" script
The "select area" script
Calculating the bounding box
Calculating the map's dimensions
Setting up the data source
Rendering the map image
The "show results" script
Identifying the clicked-on point
Identifying features by distance
Calculating distances manually
Using angular distances
Using projected coordinates
A hybrid approach
Displaying the results
Application review and improvements
Usability
Quality
Place name issues
Lat/Long coordinate problems
Performance
Finding the problem
Improving performance
Calculating the tiled shorelines
Using tiled shorelines
Analyzing the performance improvement
Summary
8. Using Python and Mapnik to Generate Maps
Introducing Mapnik
Creating an example map
Mapnik in depth
Data sources
Shapefile
PostGIS
Gdal
Ogr
SQLite
OSM
MemoryDatasource
Rules, filters, and styles
Filters
Scale denominators
"Else" rules
"Also" rules
Symbolizers
Drawing lines
LineSymbolizer
Line color
Line width
Opacity
Line caps
Line joins
Dashed and dotted lines
Drawing roads and other complex linear features
LinePatternSymbolizer
Drawing polygons
PolygonSymbolizer
Fill color
Opacity
Gamma correction
PolygonPatternSymbolizer
Drawing labels
TextSymbolizer
Specifying the text to be displayed
Selecting a suitable font
Drawing semi-transparent text
Controlling text placement
Repeating labels
Controlling text overlap
Drawing text on a dark background
Adjusting the position of the text
Splitting labels across multiple lines
Controlling character and line spacing
Controlling capitalization
Advanced text placement and formatting
Drawing points
PointSymbolizer
ShieldSymbolizer
Drawing raster images
Using colors
Maps and layers
Map attributes and methods
Layer attributes and methods
Map rendering
MapGenerator revisited
The MapGenerator interface
Creating the main map layer
Displaying points on the map
Rendering the map
What the map generator teaches us
Map definition files
Summary
9. Putting It All Together – a Complete Mapping System
About ShapeEditor
Designing ShapeEditor
Importing a shapefile
Selecting a feature
Editing a feature
Exporting a shapefile
Prerequisites
The structure of a Django application
Models
Views
URL dispatching
Templates
Setting up the database
Setting up the ShapeEditor project
Defining the ShapeEditor's applications
Creating the shared application
Defining the data models
Shapefile
Attribute
Feature
AttributeValue
The models.py file
Playing with the admin system
Summary
10. ShapeEditor – Implementing List View, Import, and Export
Implementing the "list shapefiles" view
Importing shapefiles
The "import shapefile" view function
Extracting the uploaded shapefile
Importing the shapefile's contents
Open the shapefile
Add the Shapefile object to the database
Define the shapefile's attributes
Store the shapefile's features
Store the shapefile's attributes
Cleaning up
Exporting shapefiles
Defining the OGR shapefile
Saving the features into the shapefile
Saving the attributes into the shapefile
Compressing the shapefile
Deleting temporary files
Returning the ZIP archive to the user
Summary
11. ShapeEditor – Selecting and Editing Features
Selecting a feature to edit
Implementing Tile Map Server
Setting up the base map
Tile rendering
Parsing the query parameters
Setting up the map
Defining the base layer
Defining the feature layer
Rendering the map tile
Completing the Tile Map Server
Using OpenLayers to display the map
Intercepting mouse clicks
Implementing the find feature view
Editing features
Adding features
Deleting features
Deleting shapefiles
Using ShapeEditor
Further improvements and enhancements
Summary
Index

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Tags: Erik Westra, geospatial, development