Earth Analytics Python | California NEON SJER & SOAP Spatial, Field and Lidar Data

This teaching data subset contains 1. a subset of spatial data (gis layers for the California Madera County and NEON SOAP and SJER sites). 2. Some other general spatial boundary layers from natural earth 3. NEON lidar data and insitu measurements for SOAP and SJER sites. The data are used in both the Earth Analytics R and python courses. The Lidar data can be used to teach uncertainty given there are ground measurements available. We have recently added an additional vector layer so that cropping raster data can be taught using this data set as well.

本教学数据集子集包含以下三类内容：
1. 空间数据子集，涵盖加利福尼亚州马德拉县以及美国国家生态观测站网络（NEON）的SOAP与SJER站点的地理信息系统（GIS）图层；
2. 来自Natural Earth的其他通用空间边界图层；
3. 适用于SOAP与SJER站点的NEON激光雷达（LiDAR）数据与原位观测测量数据。
该数据集可应用于《Earth Analytics》的R语言与Python语言课程教学。鉴于已有地面实测数据，该激光雷达数据可用于开展不确定性相关内容的教学。近期我们新增了一个矢量图层，使得本数据集也可用于栅格数据裁剪相关内容的教学。