five

NYS Federal Properties

收藏
NYS GIS Clearinghouse2026-05-16 收录
下载链接:
https://data.gis.ny.gov/datasets/sharegisny::nys-federal-properties
下载链接
链接失效反馈
官方服务:
资源简介:
Publication Date: <b>April 2025</b>. <div><br /></div><div>This data represents Federal properties in New York State derived from a combination of the <b>USGS National Boundary Dataset (NBD) </b>with <b>NYS Publicly Available Parcel data. </b><div><br /></div><div><b>USGS <i>GU_Reserve</i></b> feature class &quot;...include extents of forest, grassland, park, wilderness, wildlife, and other reserve areas useful for recreational activities, such as hiking and backpacking. Boundaries data are acquired from a variety of government sources. The data represents the source data with minimal editing or review by USGS.&quot;  More information and detailed metadata is available here: <a href='https://data.usgs.gov/datacatalog/data/USGS:6dcde538-1684-48a0-a8d6-cb671ca0a43e' target='_blank' rel='nofollow ugc noopener noreferrer'>https://data.usgs.gov/datacatalog/data/USGS:6dcde538-1684-48a0-a8d6-cb671ca0a43e</a>.  </div><div><br /></div><div><b>NYS ITS Geospatial Services publicly available parcel data selection of [OWNER_TYPE] field, where 1 = Federal Classification</b> is based solely on the parcel owner name indicating that the property is owned by the United States. Parcel data that is not publicly available is not included. More information and detailed metadata is available here: https://gis.ny.gov/parcels.These two datasets were combined with a minimum of available common attributes, indicating the Name, Owner, and Address of the property where applicable and/or available. Unique identifiers were retained to link records back to the original datasets. Work to improve and expand upon this Federal properties GIS dataset is on-going. </div><div><br /></div><div>Please contact NYS ITS Geospatial Services at <b>nysgis@its.ny.gov </b>if you have any questions.</div></div>
提供机构:
ShareGIS NY
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作