Climate Geospatial Analysis on Python with Xarray

提供方
Coursera Project Network
在此指导项目中,您将:

Loading, exporting and interacting with climate NetCDF datasets

Apply simple and grouped operations over multidimensional data

Navigate and visualize multidimensional geospatial data

Clock45 minutes for the guided part + 45 minutes for practice
Intermediate中级
Cloud无需下载
Video分屏视频
Comment Dots英语(English)
Laptop仅限桌面

By the end of this project, you will be able to load, visualize, manipulate and perform both simple and grouped operations over geospatial multidimensional data through Xarray and Python. We'll explore an dataset containing temperature, vegetation density and total precipitation over the Brazilian Amazon for the 1979-2019 period while the concepts are developed. This will enable the learner to handle and extract knowledge from complex datasets such as the ones from satellite and climate re-analysis observations. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

您要培养的技能

xarrayPython ProgrammingData AnalysisGeospatial Analysismultidimensional data manipulation

分步进行学习

在与您的工作区一起在分屏中播放的视频中,您的授课教师将指导您完成每个步骤:

  1. Load and getting familiar with NetCDF datasets

  2. Select and filter data through coordinates

  3. Visualize multidimensional and geospatial variables

  4. Apply simple operations over multidimensional data

  5. Apply grouped operations over multidimensional data

  6. Merge and concatenate datasets

  7. Interact with Pandas and export datasets

指导项目工作原理

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在分屏视频中,您的授课教师会为您提供分步指导

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