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：1. 空间数据子集（涵盖加利福尼亚州马德拉县以及NEON SOAP与SJER站点的地理信息系统（GIS）图层）；2. 来自Natural Earth的部分通用空间边界图层；3. 适配SOAP与SJER站点的NEON激光雷达（LiDAR）数据与原位测量数据。该数据集已应用于《地球分析》的R语言与Python课程。鉴于配套有地面实测数据，该激光雷达数据可用于开展不确定性相关教学。近期我们新增了一个矢量图层，使得利用本数据集开展栅格数据裁剪的教学也成为可能。