DOI: 10.57760/sciencedb.j00001.01036
title: Spatial and temporal variation characteristic datacube of the Pinglu Canal region from 2000 to 2023
title: 2000–2023年平陆运河区域环境时空变化特征数据集

description: The regional environmental data body includes four types of parameters: hydrological, meteorological, ecological, atmospheric, and socio-economic, covering a total of 23 sets of parameter data. Meteorological and hydrological data include surface water type distribution data, precipitation data, and average surface temperature data. Ecological environment data encompass wetland type distribution data, the number of land cover types, spatial distribution data of terrestrial ecosystems, digital elevation data, spatial distribution data of landform types, soil type distribution data, vegetation type distribution data, vegetation index data, and species richness data. Atmospheric environment data consist of near-surface PM2.5 concentration data, near-surface PM10 concentration data, near-surface SO2 concentration data, and near-surface NO2 concentration data. Socio-economic data include population grid data, gross domestic product data, residential building distribution data, impermeable surface distribution data, nighttime light data, railway line vector data, and road line vector data. By using spatiotemporal characteristic analysis methods such as land use dynamic index and trend test, the characteristics and information of environmental change were analyzed. Finally, the spatiotemporal variation characteristics of the environment in the Pinglu Canal region were organized and formed into a data volume, and the prepared data was stored in the corresponding Shapefile format. 
description: The regional environmental data body includes four types of parameters: hydrological, meteorological, ecological, atmospheric, and socio-economic, covering a total of 23 sets of parameter data. Meteorological and hydrological data include surface water type distribution data, precipitation data, and average surface temperature data. Ecological environment data encompass wetland type distribution data, the number of land cover types, spatial distribution data of terrestrial ecosystems, digital elevation data, spatial distribution data of landform types, soil type distribution data, vegetation type distribution data, vegetation index data, and species richness data. Atmospheric environment data consist of near-surface PM2.5 concentration data, near-surface PM10 concentration data, near-surface SO2 concentration data, and near-surface NO2 concentration data. Socio-economic data include population grid data, gross domestic product data, residential building distribution data, impermeable surface distribution data, nighttime light data, railway line vector data, and road line vector data. By using spatiotemporal characteristic analysis methods such as land use dynamic index and trend test, the characteristics and information of environmental change were analyzed. Finally, the spatiotemporal variation characteristics of the environment in the Pinglu Canal region were organized and formed into a data volume, and the prepared data was stored in the corresponding Shapefile format.