railroadThis map displays the two railroads that run through Stafford County, Virginia.This map was created by the Stafford County GIS Office.

LanduseThis feature layer details and describes the various uses for land within Stafford County, Virginia.These are the categories:FederalSuburban NorthSuburban StaffordshireParksPlanning Area - Warrenton RoadPlanning Area - CourthousePlanning Area - Boswell's CornerPlanning Area - Central StaffordPlanning Area - Historic Falmouth VillagePlanning Area - Rappahannock RecreationPlanning Area - Potomac LandingPlanning Area - Old Banks RecreationPlanning Area - Leeland Town StationPlanning Area - Brooke StationPlanning Area - Aquia Town CenterResource ProtectionSuburban SouthPlanning Area - WidewaterPlanning Area - The Marina DistrictPlanning Area - Central StaffordBusiness and IndustryRuralMiningThis map was created by the Stafford County GIS Office.

HydrologyThis feature layer describes and displays the various types of water features (lines) within Stafford County, Virginia.Table Glossary:The "TYPE" variable describes the different kinds of water features within Stafford County:1 - Lakes, Reservoirs, Ponds2 - Storm Ponds (Dry)3 - Perennial Streams (Double line > 10' wide)4 - Islands5 - Shorelines (Potomac and Rappahannock Rivers only)6 - Large Dams7 - Swamp / Marshes8 - Tidal Marsh9 - Intermittent Streams (Single line <10' wide)10 - Perennial Streams (Single line <10' wide)11 - Open Ditch (Single line)12 - Small Dam (Single line)13 -Hydrography Connector (Line connecting visible hydrography for connectivity)99 - Out AreaCreated by the Stafford County GIS OfficeData was taken from Merrick & Company (2000-2001).

Geospatial data about Stafford County, Virginia Parcels. Export to CAD, GIS, PDF, CSV and access via API.

zipcodeThis map outlines the boundaries for the four zip code areas within Stafford County, Virginia.This map was created by the Stafford County GIS Office.

Geospatial data about Stafford County, Virginia Buildings. Export to CAD, GIS, PDF, CSV and access via API.

Geologic map of the Coastal Plain part of the Joplin Quadrangle, Stafford and Prince William Counties, Virginia. GIS files available for this geologic map. The base maps for this series were developed from U.S. Geological Survey topographic 7.5-minute quadrangle maps (1:24,000 scale). Contour interval is in feet. For more information on this resource or to download the map PDF, please see the links provided.

Geologic map of the Stafford, Storck, Salem Church, and Fredericksburg Quadrangles, Stafford, Fauquier and Spotsylvania Counties, Virginia. GIS files available for this geologic map. The base maps for this series were developed from U.S. Geological Survey topographic 7.5-minute quadrangle maps (1:24,000 scale). Contour interval is in feet. No online version of this OFR are available, print version are available from the USGS Store. For more information on this resource and to view Plates -1, -2, -3, and 4 please see the links provided.

EasementsThis feature layer describes and displays the various types of easements (lines) within Stafford County, Virginia.Table Glossary:The "TYPE" variable describes the different kinds of easements within Stafford County:CE - Conservation EasementsCEM & CEMETE - CemeteriesDwell - DwellingsESMT - Unspecified EasementGas - Gas EasementsHIST - Historical ZoneHYDRO - Reservoir Easment (Abel Lake)I - IngressI/E & IE - Ingress/EgressPAE - Private Access EasementROW - Right of WaySS - Storm SewerTR/TRAIL - Trail EasementUTIL - Unspecified UtilityVEPCO - Power LinesData retrieved from Merrick & Company.

QGreenland is a free and open-source Greenland-focused GIS environment for data
analysis and viewing, powered by QGIS.

Visit the FEMA Community Disaster Resilinece Zones Homepage for more information and the Application to see the Zones.To download GIS data, users must be logged into any ArcGIS Online or Enterprise account. For users who require tabular data (.csv format only) or do not have an ArcGIS Online or Enterprise account, click here to download.A law signed by President Biden on Dec. 20, 2022— the Community Disaster Resilience Zones Act—will build disaster resilience across the nation by creating and designating resilience zones which identifies disadvantaged communities most at-risk to natural hazards.This new law amends the Robert T. Stafford Disaster Relief and Emergency Assistance Act and applies FEMA’s National Risk Index to identify communities that are most vulnerable to natural hazards.These designated zones will receive targeted support to access federal funding to plan for resilience projects that will help them reduce impacts caused by climate change and natural hazards. It will also enable communities to work across a range of federal and private sector partners to maximize funding and provide technical assistance, strengthening community resilience.Designated zones will receive targeted federal support, such as increased federal cost-share for the Building Resilient Infrastructure and Communities program, lessening the financial burden on communities to perform resilience-related activities. This layer allows users to identify the FEMA Community Disaster Resilience Zones, which target Census tracts identified as disadvantage communities most at-risk to natural hazards as a part of the Community Disaster Resilience Zones Act. The data methodology is available on the "Designation Methodology" page of the related FEMA Community Disaster Resilience Zones product.

Geospatial data about Pearland, Texas Signals. Export to CAD, GIS, PDF, CSV and access via API.

polling places 2022

Geospatial data about Pearland, Texas ETJ (UB) Addresses. Export to CAD, GIS, PDF, CSV and access via API.

Election PrecinctsThis map outlines the 27 different election precincts within Stafford County, Virginia.Created by the Stafford County GIS Office

Geospatial data for Stafford-Missouri City from City of Pearland, Texas. Export to CAD, GIS, PDF, KML and CSV, and access via API.

This layer is sourced from copgisweb.ci.pearland.tx.us.

The project lead for the collection of this data was Bob Stafford. Elk (7 adult females, 3 adult males) from the California Valley herd were captured and equipped with Lotek GPS collars (LifeCycle 800 GlobalStar/ GPS3300L, Lotek Wireless, Newmarket, Ontario, Canada) and ATS GPS collars (G2000, Advanced Telemetry Systems, Isanti, Minnesota, USA), transmitting data from 2005-2006 and 2015-2017. The study area was within the La Panza Elk Management Unit, north adjacent of State Highway 58 in the Carrizo Plain and largely residing on a patchwork of private lands and CDFW’s California Valley. The Cedar Canyon herd contains short distance, elevation-based movements likely due to seasonal habitat conditions, but this herd does not migrate between traditional summer and winter seasonal ranges. Instead, the herd displays a residential pattern, slowly moving up or down elevational gradients. Therefore, annual home ranges were modeled using year-round data to demarcate high use areas in lieu of modeling the specific winter ranges commonly seen in other ungulate analyses in California. GPS locations were fixed at 1-13 hour intervals in the dataset. To improve the quality of the data set as per Bjørneraas et al. (2010), the GPS data were filtered prior to analysis to remove locations which were: i) further from either the previous point or subsequent point than an individual elk is able to travel in the elapsed time, ii) forming spikes in the movement trajectory based on outgoing and incoming speeds and turning angles sharper than a predefined threshold , or iii) fixed in 2D space and visually assessed as a bad fix by the analyst. The methodology used for this analysis allowed for the mapping of the herd’s annual range based on a small sample. Brownian Bridge Movement Models (BBMMs; Sawyer et al. 2009) were constructed with GPS collar data from 9 elk in total, including 17 year-long sequences, location, date, time, and average location error as inputs in Migration Mapper to assess annual range. Annual range BBMMs were produced at a spatial resolution of 50 m using a sequential fix interval of less than 27 hours and a fixed motion variance of 1000. Population-level annual range designations for this herd may expand with a larger sample, filling in some of the gaps between high-use annual range polygons in the map. Annual range is visualized as the 50th percentile contour (high use) and the 99th percentile contour of the year-round utilization distribution.

County OutlineThis feature layer displays the borders for the MCCS Quantico and Stafford County, Virginia.This data was created by the Stafford County GIS Department.

This layer is a component of Cemeteries in Fort Bend County.

Cemeteries in Fort Bend County

© FBC GIS