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Province Map China has 34 provincial-level administrative units: 23 provinces, 4 municipalities (Beijing, Tianjin, Shanghai, Chongqing), 5 autonomous regions (Guangxi, Inner Mongolia, Tibet, Ningxia, Xinjiang) and 2 special administrative regions (Hong Kong, Macau). More Maps of Provinces: Anhui ...
T h e age structure of a large, unisexual, closed population is described here by a vector of the proportions in each age class. Non-negative matrices of age-specific birth and death rates, called Leslie matrices, map the age structure a... AA Rob 被引量: 323发表: 0年 Matrix models...
It has been found that the heat stress effect is stronger in the core area of large cities with high population density11. Thus, within the QGIS Version 3.32.3 environment, the present study clips the shape file (Fig.S3) of the core urban area based on administrative divisions, building an...
developed a Random Forest model to map 3D building structures over China, Europe, and the United States. Frantz,et al.24estimated building heights across Germany based on Support Vector Regression and Sentinel-1 and Sentinel-2 time-series. Nonetheless, most existing studies estimate building height...
As for the control variables, the results showed that cross-border mobility (Migration), within-city mobility (Public transit volume), population density (Population density), and the number of confirmed cases (Confirmed cases) had positive effects onTTPacross columns. Also,TTPwas sensitive to econ...
(2011). Cross-genome map based dissection of a nitrogen use efficiency ortho-metaQTL in bread wheat unravels concerted cereal genome evolution. Plant J 65, 745–756. Article CAS PubMed Google Scholar Rabanus-Wallace, M.T., Hackauf, B., Mascher, M., Lux, T., Wicker, T., Gundlach,...
3.2. Map of the GDCS frequency in Ulanqab Considering the periodicity of the GDCS, we measured its frequency in Ulanqab over the past five years. Then, the point density analysis and zonal statistics tools of ArcGIS 10.2 were used to describe the spatial and temporal patterns of the GDCS freq...
The types of land use, population density, and vegetation coverage are the main driving factors of ecological vulnerability evolution. Ecological vulnerability and landscape pattern are highly correlated, among which the number of patches and aggregation index contribute greatly to ecological vulnerability....
Under the influence of the economic development level, population density, transportation infrastructure construction, and other factors, road transport passenger CO2 emissions and NEV ownership show significant regional heterogeneity. We also observed a significant increase in emissions reduction from the elec...