From the course: Advanced Geospatial Data Analytics in Python
Join today to access over 25,300 courses taught by industry experts.
Raster downsampling - Python Tutorial
From the course: Advanced Geospatial Data Analytics in Python
Raster downsampling
- [Instructor] In real world spatial data projects, a common challenge is the integration of diverse datasets. These datasets may vary in geographic coverage, spatial resolution, data collection, methodology, and data structure. This means that they often come in both vector and raster formats, while the analytical pipelines typically require a unified format. Therefore, the ability to seamlessly convert between vector and raster data is an essential skill for effective and flexible spatial data analysis. In the following, we will explore how to apply this in practice starting by turning raster data into vector data. While the zonal statistics provides an easy way to map a raster grid into a vector data layer, now we will learn an atomized method to transfer any raster grid into its selector counterpart without the need for aggregation and the potential of information loss. However, since our original raster data contains nearly 150 million pixels or data points to make the later…
Practice while you learn with exercise files
Download the files the instructor uses to teach the course. Follow along and learn by watching, listening and practicing.
Download courses and learn on the go
Watch courses on your mobile device without an internet connection. Download courses using your iOS or Android LinkedIn Learning app.