Geojson provides several advantages compared to shapefiles:

1. lightweight, text-based, and easily readable format that can be easily shared, transmitted and used on the web.

2. It supports a wider range of data types compared to shapefile and can be used across multiple platforms and programming languages.

3. Additionally, geojson files have smaller file sizes, making them easier to store and process. These benefits make geojson a popular choice for geographic information data storage and exchange.

Note: this post was arranged by ChatGPT

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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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The National Oceanic and Atmospheric Administration (NOAA) Integrated Surface Database (ISD) provides one of the richest sources of historical weather data consisting of hourly and synpoptic observation. This blog will introuce the simple way to retrieve and process the raw data into Python dataframe.

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在国外新购置了一台PC，性能比从国内带来的Mac笔记本要好，也可以继续玩Steam上的游戏。决定将个人学习工作环境迁移至Windows系统。在此记录相关配置步骤，以便未来之需。

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提要：Altair是强大的可视化库，其基于Vega-lite,可快速生成简洁、美观、可互动的统计图形。本文介绍个人相关学习经历，具体包括：(1)数据载入与基本图形绘制; (2)基于web端呈现

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In this post, I address an common problem in geoscience research: how to arrange the original geodata into pre-defined grid system. Sometimes, we need to unify the resolution of various dataset or summary the scatter data to raster one.

Specifically, this brief tutorial will look at two different original data, and allow you to creat gridded data in python. For better illustration, two practial cases with detailed code are shown:

• Creating an emission inventory based on the emissions from point sources (e.g., power plants, cement plants)
• Remapping a population density map to a coarser resolution

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Sometimes, we need to transform the original raster dataset to a different resolution (usually coarser). In this post, I will introduce the simple workflow for cell resampling using Python.

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有时，我们无法直接获取某些地理数据的精确位置信息，仅能从网络中下载他人的地图作品。因而，我请教了一名规划师同学，参考网络图像，通过适配地理范围，手工获取其实际地理属性。本文以我国集中采暖南北分界线的绘制为例，简述QGIS软件的具体实现步骤。

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Sometimes, we need to clip or extract the raster image with polygon features, e.g., only focus on the percipitation within China using global dataset. This post will introduce two methods to mask the 2-d array-like dataset by a specific geometry using Python.

• The first method use GeoPandas module to test those raster coordidnates within/out of the shapefile
• The second method which I strongly recommended with faster speed was based on shapely module.

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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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