Regression results with the land cover composition as predictor variables and the air temperature as response variables on winter night.
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https://figshare.com/articles/dataset/_Regression_results_with_the_land_cover_composition_as_predictor_variables_and_the_air_temperature_as_response_variables_on_winter_night_/1099338
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Note: PerBA, PerPA, PerTC and PerLA refer to the percentage of building area, paved area, tree area and lawn area, respectively. The bold numbers represent the highest explanatory power of the regression model among different spatial scales (from 20 to 300 m in radius). The stepping method criterion included a variable if it was statistically significant at p = 0.05 level.
创建时间:
2014-07-10



