Detecting changes in spatial characteristics of Colorado human-caused wildfires using APRIORI-based frequent itemset mining

Cleland Zachary W.; Dao Khac An; Dao Thi Hong Diep

首页> 外文期刊>Computers，environment and urban systems >Detecting changes in spatial characteristics of Colorado human-caused wildfires using APRIORI-based frequent itemset mining

【24h】

Detecting changes in spatial characteristics of Colorado human-caused wildfires using APRIORI-based frequent itemset mining

机译：Detecting changes in spatial characteristics of Colorado human-caused wildfires using APRIORI-based frequent itemset mining

获取原文

获取原文并翻译 | 示例

获取外文期刊封面封底 >>

开具论文收录证明 >>

文献代查 >>

页面导航

摘要
著录项
相关主题

摘要

The phenomenon of human-caused wildfire presents significant dilemmas for states like Colorado, given a growing population and large portions of forested mountain ecoregions. This study seeks to understand the changes in characteristics of Western Colorado human-caused wildfire (HCF) occurrences from 1992 to 2015 while considering their locations and spatial context. Fires are grouped into three seven-year study periods, 1992-1999, 2000-2007, and 2008-2015. First, we constructed an extensive spatial database documenting the spatial characteristics of these fires. The spatial characteristics represent the spatial relationships and inter-activity of fire occurrence locations with various environmental and anthropogenic entities. Second, an unsu-pervised data mining approach (APRIORI-based itemset mining) is used to extract the most frequent characteristics of the fire occurrences during these periods. Finally, we present a comprehensive visual graph -based evaluation approach to evaluate the mined results effectively. Our findings indicate explicit and fresh insights into changes in human-caused wildfire characteristics for the study area. The method presented and enhanced here is proven robust and very effective at extracting an extensive and comprehensive set of charac-teristics of HCFs. The operative spatial predication schemas and the result evaluation approach based on visual analytics are this study's successful and novel aspects.

著录项

来源
《Computers，environment and urban systems》 |2023年第4期|1.1-1.26|共26页
作者
Cleland Zachary W.; Dao Khac An; Dao Thi Hong Diep;
展开▼
作者单位

Univ Colorado;

Duy Tan Univ||Duy Tan Univ;

展开▼
收录信息
原文格式 PDF
正文语种英语
中图分类
关键词
Human -caused wildfires; Characteristics; Changes; Spatial data mining; APRIORI-based; Spatial -temporal association mining; Visual analytics;

Detecting changes in spatial characteristics of Colorado human-caused wildfires using APRIORI-based frequent itemset mining

摘要

著录项

相关主题

期刊订阅