Description: 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.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.ParkServe® Data InclusionProperty eligibility criteria for ParkServe®:- Publicly-owned local, state, and national parks- 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.- Privately-owned parks that are managed for full public useExamples of property types not included in ParkServe®:- Golf courses- CemeteriesFor field descriptions, see: https://www.tpl.org/parkserve/downloads
Service Item Id: 45d4943662a348b5af1acdb24969505b
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
ssNtype
(
type: esriFieldTypeString, alias: What is the predominant land use type along the street?, length: 255
)
ssPrkCnt
(
type: esriFieldTypeString, alias: How many public parks are present?, length: 255
)
ssPrkAccess
(
type: esriFieldTypeString, alias: Can the park be accessed for use?, length: 255
)
ssEntrCnt
(
type: esriFieldTypeString, alias: How many points of entry does the park have?, length: 255
)
ssPrkSigns
(
type: esriFieldTypeString, alias: Are there signs that share information about the park?, length: 255
)
ssBikePath
(
type: esriFieldTypeString, alias: Is there a designated bike path?, length: 255
)
ssSidewlk
(
type: esriFieldTypeString, alias: Is a sidewalk present?, length: 255
)
ssTripHzrds
(
type: esriFieldTypeString, alias: Are there poorly maintained sections of the sidewalk that consititute major trip hazards?, length: 255
)
ssBuffers
(
type: esriFieldTypeString, alias: Is a buffer present?, length: 255
)
ssOvrhdCvrg
(
type: esriFieldTypeString, alias: What percentage of the length of the sidewalk/walkway is covered by trees, awnings, or other overhead coverage?, length: 255
)
ssTrnstStps
(
type: esriFieldTypeString, alias: How many public transit stops are present?, length: 255
)
ssSeating
(
type: esriFieldTypeString, alias: Are there any benches or places to sit?, length: 255
)
ssLighting
(
type: esriFieldTypeString, alias: Are street lights installed?, length: 255
)
ssMntndBldgs
(
type: esriFieldTypeString, alias: What percentage of buildings are well maintained?, length: 255
)
ssGrafitti
(
type: esriFieldTypeString, alias: Is grafitti or tagging present?, length: 255
)
Color: [0, 0, 0, 255] Background Color: N/A Outline Color: N/A Vertical Alignment: baseline Horizontal Alignment: center Right to Left: false Angle: 0 XOffset: 0 YOffset: 0 Size: 18 Font Family: Arial Font Style: normal Font Weight: normal Font Decoration: none
Description: 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.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.ParkServe® Data InclusionProperty eligibility criteria for ParkServe®:- Publicly-owned local, state, and national parks- 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.- Privately-owned parks that are managed for full public useExamples of property types not included in ParkServe®:- Golf courses- CemeteriesFor field descriptions, see: https://www.tpl.org/parkserve/downloads
Service Item Id: 45d4943662a348b5af1acdb24969505b
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
Description: This data set provides four feature classes. The base feature class is called BlockGroups_bg and isn't generalized. The weighted centroids feature class is called BlockGroups_bg_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 BlockGroups_bg and BlockGroups_bg_cent feature classes contain all the attributes. There are two generalized boundaries feature classes and called: BlockGroups_bg_gen2, and BlockGroups_bg_gen3. Use the generalized boundaries when creating study areas.