NSW Koala Tree Index 5m v1.1

This layer reflects the probability of finding a tree species that a koala is known to use for food or shelter.\r\n\r\nThe statewide Koala Habitat Information Base (KHIB) has been developed as part of the NSW Koala Strategy. It delivers the best available state-wide spatial data on koala habitat, likelihood, koala preferred trees and koala sightings for NSW.\r\n\r\nIt will be an important resource to assist government agencies, local councils and private land holders with koala conservation decisions.\r\n\r\nThe Koala Tree Index v1.1 is one dataset under the KHIB. Tree indices were developed for each of the nine Koala Modelling Regions and mosaiced together into a statewide raster. Boosted Regression Tree (BRT) individual tree species distribution models were developed for important food and shelter species, with each KMR possessing a characteristic set of species whose combined distributions added to create index. The choice which species to include in each region was determined by a process of expert elicitation. \r\n\r\nThe statewide product is available for download below as a zipped 5m tif image readable in any spatial software package. An ArcGIS mxd is also supplied for suggested symbology.\r\n\r\nAll Koala Habitat Information Base datasets are available for download at the links below under 'Dataset relationship'.\r\n\r\nFor further information on the data layers and their development, please see the Koala Habitat Information Base Technical Guide .\r\n\r\n

该图层反映了发现考拉已知用于觅食或栖息的树种的概率。

全州范围的考拉栖息地信息库（Koala Habitat Information Base, KHIB）是新南威尔士州（NSW）考拉战略的一部分。它提供了NSW范围内关于考拉栖息地、出现可能性、考拉偏好树种及考拉目击记录的最佳可用空间数据。

它将成为协助政府机构、地方议会和私人土地所有者做出考拉保护决策的重要资源。

考拉树种指数v1.1是KHIB下的一个数据集。研究人员为九个考拉建模区域（Koala Modelling Regions, KMR）分别构建了树种指数，并将其拼接成全州范围的栅格。针对重要的觅食和栖息树种，研究人员开发了增强回归树（Boosted Regression Tree, BRT）个体树种分布模型；每个KMR都拥有一组特征树种，其组合分布被用于构建该指数。各区域纳入树种的选择是通过专家征询过程确定的。

该全州范围的产品可通过下方链接下载，格式为压缩的5米分辨率tif图像，可在任何空间软件包中读取。同时提供ArcGIS mxd文件，用于建议的符号化设置。

所有KHIB数据集均可通过下方"数据集关系"栏目下的链接下载。

有关数据图层及其开发的更多信息，请参阅《考拉栖息地信息库技术指南》。