Chesapeake WILD Program Grant Projects, 2022
收藏US Fish and Wildlife Service Open Data2026-03-28 收录
下载链接:
https://gis-fws.opendata.arcgis.com/datasets/fws::chesapeake-wild-program-grant-projects-2022
下载链接
链接失效反馈官方服务:
资源简介:
<p>Signed into law in October 2020, the Chesapeake Watershed
Investments for Landscape Defense (Chesapeake WILD) Act directed the Secretary
of the Interior, through the U.S. Fish and Wildlife Service, to develop and
implement the non-regulatory Chesapeake WILD Program. Chesapeake WILD was established for the following purposes: 1. Coordination among federal, state, local, and regional
entities to establish a shared vision for sustaining natural resources and
human communities throughout the Chesapeake Bay and its watershed, 2. Engagement of diverse agencies and organizations to build
capacity and generate funding that address shared restoration and conservation
priorities, and 3. Collaboration to administer a grant program and implement
projects to conserve, steward, and enhance fish and wildlife habitats and
related conservation values.</p><p>This dataset represents 11 projects awarded more than $3.5 million that generated $4.5 million in match from the grantees, providing a total conservation impact of $8 million for conservation investments support unmet place-based needs that align with five shared pillars. Spatial data are collected from grantees in a polygon
geometry. The accuracy of polygons that are submitted depend on the methodology
used by grantees to create them. Some grantees have a GIS team that uploads
detailed project footprints developed by experienced GIS analysts. Others
create project footprints during the grant application process using a
map-based online drawing tool. All polygons are reviewed and approved by
relevant program staff to ensure proper scale.</p>
<p>Points are generated from polygons submitted by grantees. If
there is one polygon, the point is placed in the centroid of the polygon. If
there are multiple polygons that are within close proximity to each other, one
point is generated as a representative point of the multiple polygons. If there
are multiple polygons that are far away from each other, multiple points are
created (the centroid of each of the polygons). Consequently, polygons are
recommended for quantitative analyses requiring a high spatial resolution, and
points are recommended for mapping the general location of many projects over
large areas. - this means there are some duplicate points on the map.</p><p></p><p>Please take the accuracy, methodology, and guidelines into
consideration as you conduct your analyses. These data are intended for your
internal analysis and the use case outlined above only. Spatial data should not
be shared with other third party entities without approval from the National Fish and Wildlife Foundation. If you have
any questions about the data, please feel free to contact to Mike Lagua
(Michael.Lagua@nfwf.org).</p>
提供机构:
U.S. Fish & Wildlife Service



