ASTHO created a Testing Prioritization Guidance layer using Esri’s ArcGIS online mapping tool. Data was sourced from health agency websites, executive orders and guidance documents. The layer displays information on state/territorial level guidance on testing prioritization from health agency websites. Please note, local authorities may also issue declarations or executive orders that are more restrictive in nature. This information is not included on this layer. Information is assessed regularly by ASTHO staff for relevance to state/territorial health officials’ priorities in their COVID-19 response. Updates to this layer will occur periodically.

Data Definitions:

Testing Prioritization Guidance - Health agencies that have issued guidance on testing prioritization to meet COVID-19 response needs.

Terms of Use:

If you plan to use this map to advance your own research or to disseminate the information we’ve presented here, please reference the below data citation, using DataCite’s format for citing.

ASTHO. March 27, 2020. Testing Prioritization Guidance. Esri ArcGIS Layer. https://www.astho.org/COVID-19/.

Originally published March 27, 2020 on https://www.astho.org/COVID-19/

Workbook details: 1 attribute table in ArcGis

Original author: ASTHO

This layer shows the location of Driving Test Appointment Office and Written Test Centre in Hong Kong. It is a set of data made available by the Transport Department under the Government of Hong Kong Special Administrative Region (the "Government") at https://portal.csdi.gov.hk ("CSDI Portal"). The source data is in CSV format and has been processed and converted into Esri File Geodatabase format and uploaded to Esri's ArcGIS Online platform for sharing and reference purpose. The objectives are to facilitate our Hong Kong ArcGIS Online users to use the data in a spatial ready format and save their data conversion effort.For details about the data, source format and terms of conditions of usage, please refer to the website of Hong Kong CSDI Portal at https://portal.csdi.gov.hk.

This web map shows the location of Restriction - Testing Declaration Area in Hong Kong. It is a set of data made available by the Health Bureau under the Government of Hong Kong Special Administrative Region (the "Government") at https://GEODATA.GOV.HK/ ("Hong Kong Geodata Store"). The source data is in GML format and has been processed and converted into Esri File Geodatabase format and uploaded to Esri's ArcGIS Online platform for sharing and reference purpose. The objectives are to facilitate our Hong Kong ArcGIS Online users to use the data in a spatial ready format and save their data conversion effort.For details about the data, source format and terms of conditions of usage, please refer to the website of Hong Kong Geodata Store at https://geodata.gov.hk/.

description: In order to test hypotheses about groundwater flow under and into Chesapeake Bay, geophysical surveys were conducted by U.S. Geological Survey (USGS) scientists on Chesapeake Bay and the Potomac River Estuary in September 2006. Chesapeake Bay resource managers are concerned about nutrients that are entering the estuary via submarine groundwater discharge, which are contributing to eutrophication. The USGS has performed many related studies in recent years to provide managers with information necessary to make informed decisions about this issue. The research carried out as part of the study described here was designed to help refine nutrient budgets for Chesapeake Bay by characterizing submarine groundwater flow and discharge of groundwater beneath part of the mainstem and a major tributary, the Potomac River Estuary.; abstract: In order to test hypotheses about groundwater flow under and into Chesapeake Bay, geophysical surveys were conducted by U.S. Geological Survey (USGS) scientists on Chesapeake Bay and the Potomac River Estuary in September 2006. Chesapeake Bay resource managers are concerned about nutrients that are entering the estuary via submarine groundwater discharge, which are contributing to eutrophication. The USGS has performed many related studies in recent years to provide managers with information necessary to make informed decisions about this issue. The research carried out as part of the study described here was designed to help refine nutrient budgets for Chesapeake Bay by characterizing submarine groundwater flow and discharge of groundwater beneath part of the mainstem and a major tributary, the Potomac River Estuary.

This web map shows the location of designated car testing centres in Hong Kong. It is a set of data made available by the Transport Department under the Government of Hong Kong Special Administrative Region (the "Government") at https://portal.csdi.gov.hk ("CSDI Portal"). The source data has been processed and converted into Esri File Geodatabase format and uploaded to Esri's ArcGIS Online platform for sharing and reference purpose. The objectives are to facilitate our Hong Kong ArcGIS Online users to use the data in a spatial ready format and save their data conversion effort.For details about the data, source format and terms of conditions of usage, please refer to the website of Hong Kong CSDI Portal at https://portal.csdi.gov.hk.

This layer shows the location of Hong Kong Community Testing Centres for COVID-19. It is a set of data made available by the Food and Health Bureau under the Government of Hong Kong Special Administrative Region (the "Government") at https://GEODATA.GOV.HK/ ("Hong Kong Geodata Store"). The source data is in GML format and has been processed and converted into Esri File Geodatabase format and uploaded to Esri's ArcGIS Online platform for sharing and reference purpose. The objectives are to facilitate our Hong Kong ArcGIS Online users to use the data in a spatial ready format and save their data conversion effort. For details about the data, source format and terms of conditions of usage, please refer to the website of Hong Kong Geodata Store at https://geodata.gov.hk/.

Read about this volunteer-driven effort, access data and apps, and contribute your own testing site data:https://covid-19-giscorps.hub.arcgis.com/pages/contribute-covid-19-testing-sites-dataItem details page:https://giscorps.maps.arcgis.com/home/item.html?id=d7d10caf1cec43e0985cc90fbbcf91cbThis view is the originalCOVID-19 Testing Locations in the United States - public dataset. A backup copy also exists:https://giscorps.maps.arcgis.com/home/item.html?id=11fe8f374c344549815a716c8472832f. The parent hosted feature service is the same.This version is symbolized by type of test (molecular, antibody, antigen, or combinations thereof).This feature layer view contains information about COVID-19 screening and testing locations. It is made available to the public using the GISCorps COVID-19 Testing Site Locator app (https://giscorps.maps.arcgis.com/apps/webappviewer/index.html?id=2ec47819f57c40598a4eaf45bf9e0d16) and onfindcovidtesting.com. States and counties are encouraged to include this feature service in their own testing site locator apps as well.Please submit new testing sites or updated testing site information via this form:https://arcg.is/10S1ib. Including this link on your organization's testing site finder web app will allow testing providers to add their own sites directly to the map, improving the accuracy and completeness of the dataset.GISCorps volunteers verify each submission prior to including it in this public view. You can also add your sites in bulk by completing a copy ofthis templateand emailing it to admin@giscorps.org.This dataset is updated daily. All information is sourced from public information shared by health departments, local governments, and healthcare providers. The data are aggregated byGISCorps volunteers in collaboration with volunteers from Coders Against COVID and should not be considered complete or authoritative. Please contact testing sites or your local health department directly for official information and testing requirements.The objective of this application is to aggregate and facilitate the public communications of local governments, health departments, and healthcare providers with regard to testing site locations. GISCorps does not share any screening or testing site location information not previously made public or provided to us by one of those entities.Data dictionary document:https://docs.google.com/document/d/1HlFmtsT3GzibixPR_QJiGqGOuia9r-exN3i5UK8c6h4/edit?usp=sharingArcade code for popups:https://docs.google.com/document/d/1PDOq-CxUX9fuC2v3N8muuuxN5mLMinWdf7fiwUt1lOM/edit?usp=sharing

This dashboard provides insights into the state of COVID-19 testing in the United States.

While some testing site data is provided directly by state and local governments and healthcare providers, much of this data was sourced by GISCorps volunteers from the websites of local governments and healthcare providers and is not authoritative or comprehensive. Please contact testing sites or state and local agencies directly for official information and testing requirements.

To submit updated information about a testing site or to suggest one that isn't on this map, please fill out and submit this form. GISCorps can also supply a spreadsheet template for bulk data uploads; please contact info@giscorps.org to discuss that option.

Find the COVID-19 Testing Sites in the United States public ArcGIS REST service at https://services.arcgis.com/8ZpVMShClf8U8dae/arcgis/rest/services/TestingLocations_public2/FeatureServer.

This web map shows the location of driving test centres in Hong Kong. It is a set of data made available by the Transport Department under the Government of Hong Kong Special Administrative Region (the "Government") at https://portal.csdi.gov.hk ("CSDI Portal"). The source data has been processed and converted into Esri File Geodatabase format and uploaded to Esri's ArcGIS Online platform for sharing and reference purpose. The objectives are to facilitate our Hong Kong ArcGIS Online users to use the data in a spatial ready format and save their data conversion effort.For details about the data, source format and terms of conditions of usage, please refer to the website of CSDI Portal at https://portal.csdi.gov.hk.

This web map shows the location of Specified Premises stated under Compulsory Testing Notice in Hong Kong. It is a set of data made available by the Health Bureau under the Government of Hong Kong Special Administrative Region (the "Government") at https://GEODATA.GOV.HK/ ("Hong Kong Geodata Store"). The source data is in GeoJSON format and has been processed and converted into Esri File Geodatabase format and uploaded to Esri's ArcGIS Online platform for sharing and reference purpose. The objectives are to facilitate our Hong Kong ArcGIS Online users to use the data in a spatial ready format and save their data conversion effort.For details about the data, source format and terms of conditions of usage, please refer to the website of Hong Kong Geodata Store at https://geodata.gov.hk/.

File List supplement2.zip

Description supplement2.zip Compressed archive file containing five GIS datasets, unch_wetland.e00, unch_forest.e00, natareas24_p.e00, nat_comm.e00, all_areas.e00 unch_wetland.e00 Contiguous wetlands in Michigan that are larger than 100 hectares and are of the same wetland type present in the Government Land Office surveys of the 1800s. Data format is ESRI polygon coverage in an ESRI interchange file. Geographic projection is Michigan Georef, NAD 83, meters. unch_forest.e00 Contiguous forests in Michigan that are larger than 100 hectares and are of the same forest type present in the Government Land Office surveys of the 1800s. Data format is ESRI polygon coverage in an ESRI interchange file. Geographic projection is Michigan Georef, NAD 83, meters. natareas24_p.e00 State of Michigan designated State Natural Areas. Data format is ESRI polygon coverage in an ESRI interchange file. Geographic projection is Michigan Georef, NAD 83, meters. nat_comm.e00 Natural communities from the Michigan Natural Features Inventory natural heritage database. Data format is ESRI polygon coverage in an ESRI interchange file. Geographic projection is Michigan Georef, NAD 83, meters.
all_areas.e00 All preceding data sets, unch_wetland.e00, unch_forest.e00, natareas24_p.e00 and nat_comm.e00 merged into one data set. Data format is ESRI polygon coverage in an ESRI interchange file. Geographic projection is Michigan Georef, NAD 83, meters.

The dataset is a feature class showing the boundaries of 515 groundwater basins and subbasins as defined by the California Department of Water Resources as last modified by the Basin Boundary Emergency Regulation adopted on October 21, 2015 and subsequent modifications requested through the Basin Boundary Modification Request Process. This data is current as of December 9, 2022. The file is in ESRI geodatabase format and is intended for use with compatible GIS software. Groundwater basins are represented as polygon features and designated on the basis of geological and hydrological conditions - usually the occurrence of alluvial or unconsolidated deposits. When practical, large basins are also subdivided by political boundaries, as in the Central Valley. Basins are named and numbered per the convention of the Department of Water Resources.

The 2 Foot Sea Level Rise Inundation dataset is a derivative of high-resolution topographic data (LiDAR) that the State of Maryland in cooperation with local and federal agencies has acquired to identify areas vulnerable to inundation and flooding. The dataset represents inundation areas of Maryland coastal counties in the event of a two foot sea level rise. Data is not available for Harford County, Prince George's County, and Baltimore City. The Department of Natural Resources makes no warranty, expressed or implied, as to the use or appropriateness of Spatial Data, and there are no warranties of merchantability or fitness for a particular purpose or use. The information contained in Spatial Data is from publicly available sources, but no representation is made as to the accuracy or completeness of Spatial Data. The Department of Natural Resources shall not be subject to liability for human error, error due to software conversion, defect, or failure of machines, or any material used in the connection with the machines, including tapes, disks, CD-ROM's or DVD-ROM's and energy. The Department of Natural Resources shall not be liable for any lost profits, consequential damages, or claims against the Department of Natural Resources by third parties. The liability of the Department of Natural Resources for damage regardless of the form of the action shall not exceed any distribution fees that may have been paid in obtaining Spatial Data.

The dataset is a feature class showing the boundaries of 517 groundwater basins and subbasins as defined by the California Department of Water Resources as last modified by the Basin Boundary Emergency Regulation adopted on October 21, 2015. The file is in ESRI geodatabase format and is intended for use with compatible GIS software. Groundwater basins are represented as polygon features and designated on the basis of geological and hydrological conditions - usually the occurrence of alluvial or unconsolidated deposits. When practical, large basins are also subdivided by political boundaries, as in the Central Valley. Basins are named and numbered per the convention of the Department of Water Resources. The associated data are considered DWR enterprise GIS data, which meet all appropriate requirements of the DWR GIS Spatial Data Standards. DWR makes no warranties or guarantees, either expressed or implied, as to the completeness, accuracy or correctness of the data, nor accepts or assumes any liability arising from or for any incorrect, incomplete or misleading subject data. Comments, problems, improvements, updates, or suggestions should be forwarded to gis@water.ca.gov.

The dataset is a feature class showing the boundaries of 515 groundwater basins and subbasins as defined by the California Department of Water Resources as last modified by the Basin Boundary Emergency Regulation adopted on October 21, 2015 and subsequent modifications requested through the Basin Boundary Modification Request Process. This data is current as of December 9, 2022. The file is in ESRI geodatabase format and is intended for use with compatible GIS software. Groundwater basins are represented as polygon features and designated on the basis of geological and hydrological conditions - usually the occurrence of alluvial or unconsolidated deposits. When practical, large basins are also subdivided by political boundaries, as in the Central Valley. Basins are named and numbered per the convention of the Department of Water Resources.

Read about this volunteer-driven effort, access data and apps, and contribute your own testing and vaccination site data: https://covid-19-giscorps.hub.arcgis.com/pages/contribute-covid-19-testing-sites-dataItem details page: https://giscorps.maps.arcgis.com/home/item.html?id=c50a1a352e944a66aed98e61952051efThis feature layer view contains information about locations where government agencies and healthcare providers are directing members of the public to access COVID-19 vaccination. It only includes locations that have been publicly shared by agencies or providers. Some providers may have been authorized as vaccine points of distribution but have not yet received vaccine doses. In other cases, some providers may have received doses but do not have current vaccine availability. For sites that offer both COVID-19 testing and vaccination, the start date likely refers to the date they started offering COVID-19 testing. Creation dates do not reflect the date a provider began vaccinating; they only reflect the date we added them to our data. Please submit new vaccination sites or updated vaccination site information via this form: https://arcg.is/10S1ib. GISCorps volunteers verify each submission prior to including it in this public view. You can also add your sites in bulk by completing a copy of this template and emailing it to admin@giscorps.org. This dataset is updated daily. All information is sourced from public information shared by health departments, local governments, and healthcare providers. The data are aggregated by GISCorps volunteers and should not be considered complete or authoritative. Please contact providers or your local health department directly for official information and vaccination eligibility requirements.The objective of this application is to aggregate and facilitate the public communications of local governments, health departments, and healthcare providers with regard to vaccination site locations. GISCorps does not share any vaccination site location information not previously made public or provided to us by one of those entities.Data dictionary document: https://docs.google.com/document/d/1HlFmtsT3GzibixPR_QJiGqGOuia9r-exN3i5UK8c6h4/edit?usp=sharing

Archived on 20161130 and the name was change from i08_B118_CA_GroundwaterBasins to i08_B118_CA_GWaterBasins20161130. The dataset is a feature class showing the boundaries of 515 groundwater basins and subbasins as defined by the California Department of Water Resources (Bulletin 118, 2003). The file is in ESRI geodatabase format and is intended for use with compatible GIS software. Groundwater basins are represented as polygon features and designated on the basis of geological and hydrological conditions - usually the occurrence of alluvial or unconsolidated deposits. When practical, large basins are also subdivided by political boundaries, as in the Central Valley. Basins are named and numbered per the convention of the Department of Water Resources. The associated data are considered DWR enterprise GIS data, which meet all appropriate requirements of the DWR GIS Spatial Data Standards. DWR makes no warranties or guarantees, either expressed or implied, as to the completeness, accuracy or correctness of the data, nor accepts or assumes any liability arising from or for any incorrect, incomplete or misleading subject data. The official DWR GIS Data Steward for this dataset is Brett Wyckoff, who may be contacted at 916-651-9283, or at brett.wyckoff@water.ca.gov. Comments, problems, improvements, updates, or suggestions should be forwarded to the official GIS Data Steward as available and appropriate.

This layer shows the location of the boundary of area stated under the Compulsory Testing Notice in Hong Kong. It is a set of data made available by the Department of Health under the Government of Hong Kong Special Administrative Region (the "Government") at https://GEODATA.GOV.HK/ ("Hong Kong Geodata Store"). The source data is in GML format and has been processed and converted into Esri File Geodatabase format and uploaded to Esri's ArcGIS Online platform for sharing and reference purpose. The objectives are to facilitate our Hong Kong ArcGIS Online users to use the data in a spatial ready format and save their data conversion effort.

One-foot and two-foot contours derived from LiDAR terrain model. The DTM was developed to support the Florida Division of Emergency Management (FDEM) development and maintenance of Regional Evacuation Studies (Study), which include vulnerability assessments and assist disaster response personnel in understanding threats to Florida's citizens and visitors. Breaklines improve the digital elevation model in areas where the point density is insufficient.This data set is one component of a digital terrain model (DTM) for the Florida Division of Emergency Management's (FDEM) Project Management and Technical Services for Mapping within Coastal Florida (Contract 07-HS-34-14-00-22-469), encompassing the entire coastline of Florida. The dataset is comprised of mass points, 2-D and 3-D breakline features, 1-foot and 2-foot contours, ground control, vertical test points, and a footprint of the data set, in the ESRI ArcGIS File Geodatabase format. In accordance with the Baseline Specifications 1.2, the following breakline features are contained within the database: closed water bodies (lakes, reservoirs, etc) as 2-D or 3-D polygons; linear hydrographic features (streams, shorelines, canals, swales, embankments, etc) as 3-D breaklines; coastal shorelines as 2-D or 3-D linear features; edge of pavement road features as 3-D breaklines; soft features (ridges, valleys, etc.) as 3-D breaklines; low confidence areas as 2-D polygons; island features as 2-D or 3-D polygons; overpasses and bridges as 3-D breaklines. Contours were generated from a gridded DEM: 2-foot contours meet National Map Accuracy Standards, with 1-foot contours for visualization purposes. The LiDAR masspoints are delivered in the LAS file format based on the FDEM's 5,000' by 5,000' grid. Breakline features were captured to develop a hydrologically correct DTM. Bare earth LiDAR masspoint data display a vertical accuracy of at least 0.3-feet root mean square error (RMSE) in open unobscured areas.

This dataset provides intermonthly mapping of land cover changes from the period 2017 to 2021 for the region of Graz, Austria, and the coastal region of Portorož, Izola, and Koper in Slovenia.

In the Graz region, images were procured within the WGS84 bounding box defined by the coordinates [15.390816°, 46.942176°, 15.515785°, 47.015961°], accounting for a total of 40 images. The region of Portorož, Izola, and Koper in Slovenia, contained within the WGS84 bounding box [13.590260°, 45.506948°, 13.744411°, 45.554449°], yielded a total of 41 images. All images obtained maintain minimal cloud coverage and have a spatial resolution of 10 meters.

Comprised within this dataset are raw Sentinel-2 images in numpy format in conjunction with True Color (RGB) images in PNG format, each procured from Sentinel Hub. The ground truth label data is preserved in numpy format and has been additionally rendered in color-coded PNGs. The dataset also includes land cover maps predicted for the test set (2020-2021), as outlined in the research article, available at https://doi.org/10.3390/s23146648. Each file adheres to a nomenclature denoting the year and the month (e.g., 2017_1 corresponds to an image/ground truth/prediction for the January 2017).

Initial ground truth was obtained using the ESRI's UNet model, available at https://www.arcgis.com/home/item.html?id=afd124844ba84da69c2c533d4af10a58 (accessed on 25 July 2023). Subsequent manual corrections were administered to enhance the accuracy and integrity of the data. The Graz region contains 12 distinct classes, while the region of Portorož-Izola-Koper comprises 13 classes.

The dataset is structured as follows: - 'classes.txt' contains a list of land cover classes, - '/data' hosts the Sentinel-2 imagery, -- '/data/numpy' retains Sentinel-2 images featuring 13 basic spectral layers (B01–B12) in numpy format, -- '/data/true_color_png' stores True Color (RGB) images in PNG format, - '/ground_truth' contains ground truth, -- '/ground_truth/numpy' houses ground truth in numpy format with values ranging from 0 to 14 representing distinct classes, -- '/ground_truth/color_labeled_png' contains color-labeled images in PNG format. - '/predictions' contains predicted land cover maps for the test set from the associated research paper, -- '/predictions/numpy' has predictions in numpy format with values ranging from 0 to 14 representing distinct classes, -- '/predictions/color_labeled_png' contains color-labeled images in PNG format.

All these directories further include subdirectories '/graz' and '/portoroz_izola_koper' corresponding to the two regions covered in the datasets.

Acknowledgments: Should you find this dataset useful in your work, we kindly request that you acknowledge its origin by citing the following article: Kavran, D.; Mongus, D.; Žalik, B.; Lukač, N. Graph Neural Network-Based Method of Spatiotemporal Land Cover Mapping Using Satellite Imagery. Sensors 2023, 23, 6648. https://doi.org/10.3390/s23146648.