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Sharing GIS Technologies, Resources and News.

Introduction to NASA FIRMS: A Free Global Wildfire Data Platform

A few days ago, while browsing the Malagis GIS group, someone asked if there was a source to download global wildfire data. At that time, I didn’t have relevant resources on hand. After doing some research, I found NASA FIRMS, a website that supports GIS visualization of data and allows online downloads for viewing and analysis in software like ArcGIS and QGIS. Today, I’d like to share this resource with everyone.

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China 1:1,000,000 Geomorphological Type Spatial Distribution Data Sharing

In a previous article titled "「GIS Data」Chinese Geographic Region Partition Vector Data", we shared vector data on geographic region partitions. Recently, some users in our group requested geomorphological data. After searching, we actually found a 1:1,000,000 geomorphological type spatial distribution dataset from the Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences (CAS), and are sharing it with everyone.

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Navigating Real-time Meteorological Data on China Meteorological Data Service Network

Some time ago in the GIS group, a colleague inquired about sources for accessing granular meteorological data such as temperature, wind speed/direction, humidity, air quality, cloud cover, UV index, etc. While not deeply familiar with meteorological data myself, the group fortunately has many experts. The expert @ESPIPE generously shared a data product website from the meteorological authority. After reviewing it, I found the data exceptionally detailed, supporting queries for any latitude/longitude location across China. Today, I'll share this resource—those with similar needs may find it useful.

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China Geographic Regional Partition Data: SHP Vector Files

Following my previous article "This Certification is Highly Valuable for GIS Job Seekers, Yet Overlooked by Many", which helped numerous GIS professionals advance their careers, a middle school geography teacher recently requested vector data for China's geographic regional partitions for classroom presentations. After research, I'm sharing this valuable dataset.

Data Specifications

  • Geographic Coordinate System: GCS_Krasovsky_1940
  • Projected Coordinate System: Krasovsky_1940_Albers
  • Regions Included:

    • Tarim and Turpan Basins
    • Qaidam Basin
    • Central Shanxi-Northern Shaanxi-Eastern Gansu Plateau
    • Eastern Qinghai-Qilian Mountains
    • Liaodong-Jiaodong Hills
    • Central Shandong Hills
    • Southern Shanxi-Guanzhong Basin
    • Ngari Mountains
    • Qiangtang Plateau Lake Basin
    • Western Sichuan-Eastern Tibet High Mountains
    • Sichuan Basin
    • Jiangnan and Nanling Mountains
    • Guizhou Plateau
    • Jiangnan Hills
    • Yunnan Plateau
    • Qiong-Lei Hills
    • Sanjiang Plain
    • Northeastern Mountain Region
    • Northeastern Piedmont Plain
    • Central Songliao Plain
    • Southern Greater Khingan Range
    • Sanhe Piedmont Hills
    • Southwestern Songliao Plain
    • Eastern Inner Mongolia High Plain
    • Western Inner Mongolia High Plain
    • Northern Kunlun Mountains
    • Junggar Basin
    • Altai Mountains and Tacheng Basin
    • Ili Basin
    • North China Plain
    • Southern Himalayas
    • Fujian-Guangxi-Guangdong Hills and Plains
    • Kunlun Alpine Plateau
    • Central-Northern Taiwan Mountains and Plains
    • Golog-Nagqu Hilly Plateau
    • Alxa and Hexi Corridor
    • Qiong-Lei Lowlands
    • South Tibet Mountains
    • Qiong-Lei Lowlands and Dongsha Islands
    • Southern Yunnan Valleys and Hills
    • Southern Qinghai Plateau Wide Valleys
    • Hanzhong Basin
    • Huainan and Middle-Lower Yangtze Plains
    • North China Hills
    • Southern Taiwan Lowlands
    • Greater Khingan Range

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Global Continent Boundary Datasets: A Comparative Analysis

Following my previous article "GIS Data: Global Time Zone Boundary Data (SHP Format)", several readers requested global continent boundary datasets. Surprisingly, this data proved readily available. Below is a comparative overview of three authoritative sources.

Data Preview:

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Global Time Zone Boundary Dataset for GIS Applications

Recently, colleagues in GIS groups inquired about vector data for global time zone boundaries. While I hadn't previously worked in this specific area, I researched and found a relatively accurate dataset worth sharing.

Initially, I checked China's Standard Map Service website but discovered no officially published national standard time zone data:

After exploring public resources, I identified a suitable dataset on GitHub.

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China's Provincial Expressway Mileage Data (1993-2023) - Updated Official Statistics

In a recent video on MalaGIS's WeChat Channel showcasing national expressway mileage rankings, viewers noted the data appeared outdated. I've now updated the dataset using official National Bureau of Statistics records. Download the verified figures below.

PS: Follow MalaGIS on WeChat Channel, Douyin, and Bilibili for more geospatial content.

Data Overview

Source: National Bureau of Statistics of China
Coverage: 1993–2023
Format: CSV
Granularity: Province-level statistics
Unit: 10,000 km (Note: 1 unit = 10,000 km)

Visualization Guide

Simple visualization can be achieved in QGIS/ArcGIS. Below is a QGIS example:

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Global Forest Age Dataset (GAMI): 100m Resolution Mapping

We're introducing the Global Age Mapping Integration (GAMI) dataset—a high-resolution global forest age distribution resource for 2010 and 2020.

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Effortless Access to Global Administrative Boundary Data Using QGIS

Following our previous article 《「GIS Data」Global Maximum Personal Income Tax Rates for 2023》, many readers requested guidance on visualizing the data. This guide demonstrates a rapid technique to acquire global administrative boundaries using native QGIS functionality - no plugins required.

Note: While remarkably simple, this approach requires boundary verification, particularly for China.

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Global Soil Erodibility Dataset (2023 Edition)

We're sharing a valuable 2023 global soil erodibility dataset acquired through complex application procedures. This resource is particularly useful for GIS researchers conducting soil erosion studies.

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