标签：
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Library name |
Description |
Reason to install |
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NumPy |
This adds support for large multidimensional arrays and matrices |
It is a requirement for many other libraries |
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pyproj |
This handles projections |
It transforms projections |
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shapely |
This handles geospatial operations |
It performs fast geometry manipulations and operations |
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matplotlib |
This plots libraries |
It provides a quick visualization of results |
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descartes |
This uses Shapely or GeoJSON objects as matplotlib paths and patches |
It speedily plots geo-data |
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pandas |
This provides high-performance data structures and data analysis |
It performs data manipulation, CSV creation, and data manipulation |
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SciPy |
This provides a collection of Python libraries for scientific computing |
It has the best collection of necessary tools |
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PySAL |
This contains a geospatial analysis library |
It performs a plethora of spatial operations (optional) |
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IPython |
This provides interactive Python computing |
It is a helpful notebook to store and save your scripts (optional) |
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Django |
This contains a web application framework |
It is used for our demo web application , Web Analysis with GeoDjango |
|
pyshp |
This provides pure Python shapefile manipulation and generation |
It helps input and output shapefiles |
|
GeoJSON |
This contains the JSON format for spatial data |
It facilitates the exchange and publication of this format |
|
PostgreSQL |
This is a relational database |
It helps store spatial data |
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PostGIS |
This is the spatial extension to PostgreSQL |
It stores and performs spatial operations on geographic data in PostgreSQL |
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原文地址：http://www.cnblogs.com/gispathfinder/p/5722031.html
