This dataset records the GDP data of the Chaohu Lake Basin, Chu River Basin, Lishiahe River area and the Yangtze River Delta Demonstration Area at three important time nodes, 2000, 2010 and 2020, and adopts the high-precision remote sensing analysis technology with a spatial resolution of 12.5 meters, which is finely divided into elevation bands, aiming to reveal the impacts of different topographic heights on the distribution of economic activities and their trends over time. The data are finely divided into elevation bands, aiming to reveal the effects of different terrain heights on the distribution of economic activities and their trends over time.
The dataset is able to visualize the absolute growth of the total economic volume in each elevation zone, and also provides insight into the relative transfer and agglomeration of economic activities among different elevation zones. By comparing the data at three time points, the dataset clearly depicts the spatial and temporal evolution characteristics of GDP with elevation changes in each watershed and demonstration area. These features not only reflect the constraining and promoting effects of topographic conditions on economic development, but also reveal the adjustment and optimization process of regional economic structure.
This dataset provides rich and detailed data support for the in-depth study of the relationship between economic development and topographic elevation in the Chaohu Lake Basin, the Chu River Basin, the Lishiahe River Region and the Yangtze River Delta Demonstration Area, and is of great value in the fields of regional economic planning, policy making, and sustainable development research.
GDP raster data for the Chaohu Lake Basin, the Chu River Basin, the Lishiahe River Region, and the Yangtze River Delta Demonstration Area in 2000, 2010, and 2020 were collected from official GDP data released by national and local statistical bureaus, economic research organizations, and other official GDP data, as well as from corporate research and market research reports.
(1) According to the standard of elevation band classification, use the “raster reclassification” tool of ArcGIS to reclassify the raster data of GDP, i.e., classify the GDP according to each elevation band.
(2) Extract the GDP of each elevation zone: Use the “Regional Analysis” or “Extract by Mask” function of ArcGIS to extract the GDP values of each elevation zone from the GDP raster data, using the elevation zone raster as a mask. GDP value of each elevation band from the GDP raster data, using the elevation band raster as a mask.
This dataset focuses on the GDP of the Chaohu Lake Basin, the Chu River Basin, the Lishiahe River Region and the Yangtze River Delta Demonstration Zone, and is designed to dynamically track and analyze the changes in the spatial and temporal distribution of the population, the economy and other important factors in the basin, so as to provide data support for the assessment of the changes in the exposure and the risk of disaster-bearing bodies, and for the identification of the main risk points and risk objects in the basin.
Integrates official GDP data released by national and local statistical bureaus and economic research organizations, as well as corporate research, market research reports and other multiple data sources to ensure the authority and comprehensiveness of the data.
Using GIS technology to combine GDP data with geospatial information, it realizes high-precision spatialization processing, and is able to accurately reflect the economic distribution within each basin.
| # | number | name | type |
| 1 | 2021YFC3000100 | Lower Yangtze River Flood Disaster Integration and Control and Emergency De-risking Technology and Equipment | National key R & D plan |
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CSTR:11738.11.NCDC.NHRI.DB6774.2025
10.12072/ncdc.nhri.db6774.2025