Spatial Distribution Patterns Analysis of Historical Forest Fires in DaXingAn Mountains of China
Forest fires caused serious damage to socioeconomic by burning a tract of forest trees, and even they threaten humans life. The spatial distribution patterns of the historical forest fires can clearly explain the character of the fires spatial distribution. With the development of computer technology and Geographic Information Science (GIS), we can identify the spatial distribution patterns of the historical forest fires more easily. In this paper, Ripleys K function and Kernel density estimation were combined perfectly to recognize the spatial distribution patterns of historical forest fires. The analysis showed that the spatial distribution pattern of humancaused fires is in clusters at the scale of 23047 meters and the density map expressed human-caused fires were inclined to occur in the area where within 20 kilometers on both sides of roads. The distribution of the lightning-caused fires is much closed to the pattern of completely spatially random at scale of 961-40380 meters. This kind of spatial distribution information is very useful for forest managers to predict and manage forest fires.
spatial distribution patterns ripleys K function kernel density estimation historical forest fires
Wenliang Liu Shixin Wang Yi Zhou Litao Wang Shujie Zhang
Institute of Remote Sensing Applications Chinese Academy of Sciences Beijing, China Graduate Univers Institute of Remote Sensing Applications Chinese Academy of Sciences Beijing, China Institute of Geographic Sciences and Nature Resources Research, Chinese Academy of Sciences Beijing,
国际会议
太原
英文
634-638
2010-10-22（万方平台首次上网日期，不代表论文的发表时间）