Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>This dataset provides eight feature classes. The base feature class is called States_st and isn't generalized. The weighted centroids feature class is called States_st_cent. The centroids are weighted by the U.S. Block Centroids population distribution. Use the weighted centroids in report aggregation and spatial overlay operations. The States_st and States_st_cent feature classes contain all the attributes. There are six generalized boundaries feature classes and called: States_st_gen2, States_st_gen3, States_st_gen4, States_st_gen5, States_st_gen6 and States_st_gen7. These generalized features classes are provided to be used in mapping applications where very detailed feature classes can slow down performance.</SPAN></P></DIV></DIV></DIV>
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>This dataset provides eight feature classes. The base feature class is called Counties_cy and isn't generalized. The weighted centroids feature class is called Counties_cy_cent. The centroids are weighted by the U.S. Block Centroids population distribution. Use the weighted centroids in report aggregation and spatial overlay operations. The Counties_cy and Counties_cy_cent feature classes contain all the attributes. There are six generalized boundaries feature classes and called: Counties_cy_gen2, Counties_cy_gen3, Counties_cy_gen4, Counties_cy_gen5, Counties_cy_gen6 and Counties_cy_gen7. These generalized features classes are provided to be used in mapping applications where very detailed feature classes can slow down performance.</SPAN></P></DIV></DIV></DIV>
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>ParkServe® includes a comprehensive standardized database of local parks in nearly 14,000 cities, towns and communities. Census designated urban areas were used to define where to collect and create local data for cities, towns and communities. For each city, town and community, geographic boundaries were obtained from the US Census 2010 Places geospatial dataset and associated population estimates are derived from ESRI’s 2018 Demographic Forecasts. The ParkServe® team attempted to contact each city, town and community with a request for their parks data. If no GIS data was provided, the ParkServe® team created GIS data for the place based on available resources, such as park information from municipal websites, GIS data available from counties and states, and satellite imagery.</SPAN></P><P><SPAN>Cities, towns and communities were then emailed a link to view the park data compiled in their area to verify the boundaries and attributes of the parks in the database through our custom web-based ParkReviewer™ application.</SPAN></P><P><SPAN /></P><P><SPAN STYLE="font-weight:bold;">ParkServe® Data Inclusion</SPAN></P><P><SPAN><SPAN>Property eligibility criteria for ParkServe®:</SPAN></SPAN></P><P><SPAN><SPAN>- Publicly-owned local, state, and national parks</SPAN></SPAN></P><P><SPAN><SPAN>- School parks with a joint-use agreement with the local government. Considering the scale of the project, only the joint-use agreements collected through ParkScore® were used.</SPAN></SPAN></P><P><SPAN><SPAN>- Privately-owned parks that are managed for full public use</SPAN></SPAN></P><P><SPAN><SPAN>Examples of property types not included in ParkServe®:</SPAN></SPAN></P><P><SPAN><SPAN>- Golf courses</SPAN></SPAN></P><P><SPAN><SPAN>- Cemeteries</SPAN></SPAN></P><P><SPAN>For field descriptions, see: </SPAN><A href="https://www.tpl.org/parkserve/downloads"><SPAN>https://www.tpl.org/parkserve/downloads</SPAN></A></P><P><SPAN /></P></DIV></DIV></DIV>
Service Item Id: d718d3aff0f04109890a6218e6b77959
Copyright Text: The Trust for Public Land
The Trust for Public Land's mission is to create parks and protect land for people, ensuring healthy, livable communities for generations to come. Learn more at: www.tpl.org