|
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 |
|