#Visualization

In this post, I will cover a series of codes that how to make maps from scratch not using Python but more interactive tools.
Choropleth (等值区图)
Choropleth (等值区图)

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提要:定义嵌套网格是运行WRF模型的重要工作。本文基于Python 3.7,在Salem工具包基础上加以改进,结合Cartopy对中国国界线进行替换,同时实现修改默认底图。

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I’m writing today about downloading, handling, and plotting satellite derived air pollution maps with cartopy and fiona using Python. One key task in this post is to clip a raster-like (2-d array) dataset with a polygon in pure Python environment (i.e., no need for ArcGIS or QGIS GUI-based software).

The satellite sensor can offer critical supplementary data of several atmospheric species, e.g., SO2, NO2, PM2.5. Comparaing to ground-based monitoring which might be sparse in some areas (e.g., Africa, South America, oceans), the satellite observation offers a full picture for better understanding the spatiotemporal patterns of some air pollutants.

Below is an excerpt of a NO2 column maps within Chengyu urabn agglomeration in China.

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Hillshade is the representation of the earth’s surface under the radiation of sun. A terrain raster data can be better visualized by adding the information of hillshades. This blog will introduce some procrdures to overlay the hillshade with terrain for a nice picture.

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Welcome to my collection of Python scripts and code snippets for everyday use. This document contains a variety of scripts and code snippets that can be used to automate repetitive tasks, process data, and perform various other operations. Whether you are a beginner or an experienced Python programmer, this collection of scripts and code snippets will provide you with useful tools and shortcuts for your everyday work.

In this document, you will find code snippets and scripts for tasks such as:

  • Data processing
  • File manipulation
  • Web scraping
  • Automating tasks
  • And more!

This document is organized into sections for easy navigation, so you can quickly find the script or code snippet that you need. Many of them were collected from stackoverflow.

On 2022.03.31, I re-organize all the scripts into Python 3.x version and post again.
On 2023.02.12, I edited the whole content with help from ChatGPT

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