Python开发GIS的应用组件包

本文介绍了一系列用于地理空间数据处理的Python库,包括NumPy、pyproj、Shapely等,涵盖了从数据结构、可视化到空间分析等多个方面。

 

 

Library name

Description

Reason to install

 

NumPy

This adds support for large multidimensional arrays and matrices

It is a requirement for many other libraries

 

pyproj

This handles projections

It transforms projections

(应用PROJ.4进行投影操作)

shapely

This handles geospatial operations

It performs fast geometry manipulations and operations

(应用GEOS进行图形操作)

matplotlib

This plots libraries

It provides a quick visualization of results

 

descartes

This uses Shapely or GeoJSON objects as matplotlib paths and patches

It speedily plots geo-data

作为matplotlib与Shapely 和 GeoJSON之间的连接桥梁

pandas

This provides high-performance data structures and data analysis

It performs data manipulation, CSV creation, and data manipulation

 

SciPy

This provides a collection of Python libraries for scientific computing

It has the best collection of necessary tools

 

PySAL

This contains a geospatial analysis library

It performs a plethora of spatial operations (optional)

(进行空间分析操作)

IPython

This provides interactive Python computing

It is a helpful notebook to store and save your scripts (optional)

 

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

(对ShapeFile格式的数据进行操作)

GeoJSON

This contains the JSON format for spatial data

It facilitates the exchange and publication of this format

(对GeoJSON格式的数据进行操作)

PostgreSQL

This is a relational database

It helps store spatial data

 

PostGIS

This is the spatial extension to PostgreSQL

It stores and performs spatial operations on geographic data in PostgreSQL

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

转载于:https://www.cnblogs.com/gispathfinder/p/5722031.html

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