By Erik Westra
Learn to construct subtle mapping purposes from scratch utilizing Python instruments for geospatial development
Overview
- Build your individual entire and complex mapping purposes in Python.
- Walks you thru the method of creating your personal on-line process for viewing and enhancing geospatial data
- Practical, hands-on instructional that teaches you all approximately geospatial improvement in Python
In Detail
Geospatial improvement hyperlinks your information to areas at the Earth’s floor. Writing geospatial courses consists of initiatives equivalent to grouping information via situation, storing and studying quite a lot of spatial details, appearing complicated geospatial calculations, and drawing colourful interactive maps. on the way to do that good, you’ll desire acceptable instruments and strategies, in addition to a radical knowing of geospatial strategies comparable to map projections, datums and coordinate systems.
Python Geospatial improvement, moment variation teaches you every little thing you want to learn about writing geospatial functions utilizing Python. No earlier wisdom of geospatial thoughts, instruments or suggestions is needed. The ebook courses you thru the method of putting in and utilizing a number of toolkits, acquiring geospatial facts to be used on your courses, and construction entire and complicated geospatial purposes in Python.
Python Geospatial improvement teaches you every little thing you want to find out about writing geospatial functions utilizing Python. No earlier wisdom of geospatial ideas, instruments or strategies is needed. The publication publications you thru the method of putting in and utilizing numerous toolkits, acquiring geospatial info to be used on your courses, and construction whole and complicated geospatial purposes in Python.
This publication offers an outline of the most important geospatial strategies, facts resources and toolkits. It teaches you ways to shop and entry spatial info utilizing Python, how one can practice quite a number spatial calculations, and the way to shop spatial info in a database. simply because maps are such a huge point of geospatial programming, the booklet teaches you the way to construct your personal "slippy map" interface inside of an internet program, and finishes with the designated development of a geospatial information editor utilizing Geodjango.
Whether you must write quickly utilities to resolve spatial difficulties, or improve subtle internet functions dependent round maps and geospatial facts, this ebook comprises every thing you want to know.
What you'll study from this book
- Access, control and reveal geospatial info from inside your Python programs
- Master the middle geospatial thoughts of position, distance, devices, projections and datums
- Read and write geospatial information in either vector and raster format
- Perform complicated, real-world geospatial calculations utilizing Python
- Store and entry geospatial details in a database
- Use issues, traces and polygons inside of your Python programs
- Use Python-based instruments for changing geospatial information into solid taking a look maps
- Build entire web-based mapping purposes utilizing Python
Approach
This is an instructional variety ebook that may train utilization of Python instruments for GIS utilizing basic sensible examples after which provide help to construct an entire mapping program from scratch. The booklet assumes uncomplicated wisdom of Python. No wisdom of Open resource GIS is required.
Read or Download Python Geospatial Development - Second Edition PDF
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Additional resources for Python Geospatial Development - Second Edition
Example text
Let's look at each of these briefly. Cylindrical projections An easy way to understand cylindrical projections is to imagine that the earth is like a spherical Chinese lantern, with a candle in the middle: [ 29 ] GIS If you placed this lantern-earth inside a paper cylinder, the candle would "project" the surface of the earth onto the inside of the cylinder: You can then "unwrap" this cylinder to obtain a two-dimensional image of the earth: Of course, this is a simplification—in reality, map projections don't actually use light sources to project the earth's surface onto a plane, but instead use sophisticated mathematical transformations to achieve the same effect.
Survey (statute) miles • Nautical miles Whenever you are working with distance data, it is important that you know which units those distances are in. You will also often find it necessary to convert data from one unit of measurement to another. Angular measurements can also be in different units: degrees or radians. Once again, you will often have to convert from one to the other. While these are not strictly speaking different units, you will often find yourself dealing with different ways of representing longitude and latitude values.
There are various ways we could answer this question, but for now we'll do it by hand. 4f)" % results['south'] The findPoints() function recursively scans through a geometry, extracting the individual points and identifying the points with the highest and lowest y (latitude) values, which are then stored in the results dictionary so that the main program can use it. As you can see, GDAL makes it easy to work with the complex geometry data structure. The code does require recursion, but is still trivial compared with trying to read the data directly.