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A High-Resolution Spatial Distribution-Based Integration Machine Learning Algorithm for Urban Fire Risk Assessment: A Case Study in Chengdu, China
14 references·0 citing·44 second hop
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References

  • 1996Geographically Weighted Regression: A Method for Exploring Spatial Nonstationarity3,562 cited
  • 1998Geographically Weighted Regression: A Natural Evolution of the Expansion Method for Spatial Data Analysis1,154 cited
  • 2001STRUCTURAL COVARIATES OF U.S. COUNTY HOMICIDE RATES: INCORPORATING SPATIAL EFFECTS*479 cited
  • 2018Estimating the Performance of Random Forest versus Multiple Regression for Predicting Prices of the Apartments206 cited
  • 2013Social and economic characteristics as determinants of residential fire risk in urban neighborhoods: A review of the literature148 cited
  • 2014Spatial analysis on China's regional air pollutants and CO2 emissions: emission pattern and regional disparity124 cited
  • 1986An Adaptive Filter for Estimating Spatially-Varying Parameters: Application to Modeling Police Hours Spent in Response to Calls for Service79 cited
  • 2021The Analysis of Credit Risks in Agricultural Supply Chain Finance Assessment Model Based on Genetic Algorithm and Backpropagation Neural Network74 cited
  • 2019Principles of Risk Analysis62 cited
  • 2021A POIs based method for determining spatial distribution of urban fire risk55 cited
  • 2020Urban Fire Dynamics and Its Association with Urban Growth: Evidence from Nanjing, China38 cited
  • 2023Spatial Location Optimization of Fire Stations with Traffic Status and Urban Functional Areas37 cited
  • 2018Urban fire occurrences in the Dhaka Metropolitan Area

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  • 2011Whose uncertainty assessments (probability distributions) does a risk assessment report: the analysts' or the experts'?32 cited
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