残渣 PySAL空间计量经济学软件包 spreg是“空间回归”的缩写，是一个Python软件包，用于估计同时进行的自动回归空间回归模型。 当对观测值相互影响的过程进行建模时，这些模型很有用。 该软件包是 许可证信息 有关该软件的历史记录，使用条款和条件以及所有担保的免责声明，请参见文件“ LICENSE.txt”。

EPUB格式。PDF格式可已从我的资源列表获得。

《Oracle Spatial与OCI高级编程》课本源码

介绍空间数据的格式，以及数据库的存储，索引以及搜索

Spatial Data Analysis: Theory and Practice provides a broad-ranging treatment of the field of spatial data analysis. It begins with an overview of spatial data analysis and the importance of location (place, context and space) in scientific and policy-related research. Covering fundamental problems concerning how attributes in geographical space are represented to the latest methods of exploratory spatial data analysis and spatial modelling, it is designed to take the reader through the key areas that underpin the analysis of spatial data, providing a platform from which to view and critically appreciate many of the key areas of the field. Parts of the text are accessible to undergraduate and master’s level students, but it also contains sufficient challenging material that it will be of interest to geographers, social scientists and economists, environmental scientists and statisticians, whose research takes them into the area of spatial analysis.

:globe_showing_Europe-Africa: xarray-spatial：Python中基于栅格的空间分析 :round_pushpin: 快速，准确的Python库，可进行栅格操作 :high_voltage: 可通过扩展 :fast-forward_button: 可通过扩展 :confetti_ball: 没有GDAL / GEOS依赖项 :globe_showing_Europe-Africa: 通用空间处理，面向GIS专业人员 Xarray-Spatial使用Numba实现了常见的栅格分析功能，并提供了易于安装，易于扩展的代码库来进行栅格分析。 安装 # via pip pip install xarray-spatial # via conda conda install -c conda-forge xarray-spatial 下载我们的入门示例和数据 一旦在环境中安装了xarray-spatial，就可以在终端中（环境处于活动状态）使用以下命令之一将我们的示例和/或示例数据下载到本地目录中。 xrspatial examples ：下载示例

用OO4O实现Oracle Spatial接口.pdf

Key Devices 所著（第二版）空分复用光通信方面的巨著

geopandas-spatial-join-example：如何使用geopandas和Python将点连接到多边形数据的示例

资料说明 统计数据分析的新版书，承接了《statistical shape analysis》的经典的又一力作。值得一读。 Statistics in Practice is an important international series of texts which provide detailed coverage of statistical concepts, methods and worked case studies in specific fields of investigation and study. With sound motivation and many worked practical examples, the books show in down-to-earth terms how to select and use an appropriate range of statistical techniques in a particular practical field within each title’s special topic area. The books provide statistical support for professionals and research workers across a range of employment fields and research environments. Subject areas covered include medicine and pharmaceutics; industry, finance and commerce; public services; the earth and environmental sciences, and so on. The books also provide support to students studying statistical courses applied to the above areas. The demand for graduates to be equipped for the work environment has led to such courses be……