This is a geographic analysis showing the number and capacity of Head Start and Great Start centers within 1 Mile Square sectors. Data Driven Detroit set up the square mile sectores and spatially joined the locations of Great Start and Head Start providers (Spring 2016 locations) to each sector. The data are for Oakland, Macomb and Wayne Counties.

Abstract

The dataset was created by the Bioregional Assessment Programme. The History Field in this metadata statement describes how this dataset was created.

A 1000 m * 1000m vector grid over the entire Bioregional Assessment Bioregions/Preminary Areas of Extent (using the boundary that is largest) starting at the whole km to ensure grid lines fall exactly on the whole km. The grid is in Australia Albers (GDA94) (EPSG 3577). This grid is intended as the template for standardized assessment units for the following bioregional assessment regions:

Hunter

Namoi

Clarence-Moreton

Galilee

Please note for the Gloucester subregion model a 500m grid ( GUID ) is proposed to be used as the standard assessment unit due to the finer resolution of the output models.

To facilitate processing speed and efficiency each of the above Bioregional Assessments have their own grid and extent created from this master vector grid template, (please see Lineage).

The unique ID field for each grid cell is AUID and starts from 1. The grid also has a column id and row for easy reference and processing.

Purpose

The GRID is an attempt to standardise (where possible) outputs of models from BA assessments and is a whole of BA template for the groundwater and potentially surface water teams of the above mentioned assessment areas.

Dataset History

The Vector grid was generated using the Fishnet tool in ArcGIS. The following fields were added:

AUID - Assessment Unit Unique Id

R001_C001 - A row and column id was calculated using the following python code in the field calculator in ArcGIS where 2685 is the number of rows in the grid and 2324 is the number of columns.

'R' + str(( !OID!-1)/2685).rjust(3, '0') + '_C' + str(( !OID!-1)%2324).rjust(3, '0')

A spatial index was added in ArcGIS 10.1 to increase processing and rendering speed using the Spatial index tool from the ArcToolbox.

The following parameters were used to generate the grid in the Create Fishnet tool in ArcGIS 10.1

Left: -148000

Bottom: -4485000

Fishnet Origin Coordinate

x Coordinate = -148000 Y Coordinate -4485000

Y-Axis Coordinate

X Coordinate -148000 Y Coordinate -4484990

Cell Height - 1000m

Cell Width - 1000m

Number of rows 0

Number of columns 0

Opposite corner: default

Geometry type: Polygon

Y

Dataset Citation

XXXX XXX (2016) BA ALL Assessment Units 1000m 'super set' 20160516_v01. Bioregional Assessment Source Dataset. Viewed 13 March 2019, http://data.bioregionalassessments.gov.au/dataset/6c1aa99e-c973-4472-b434-756e60667bfa.

Coastal grid of 6-acre cells containing 2010 and 2019 canopy estimates, change values, and site visit observations for incorporated areas in Chatham, Glynn, Bryan, Liberty, McIntosh, and Camden Counties, Georgia. Grid created using the Fishnet tool in ArcGIS Pro. 2010 and 2019 canopy data was aggregated to each grid cell to determine change. Cells with significant change +- 3 acres of loss or gain were visually inspected to determine areas for site visits.

This collection of files are part of a larger dataset uploaded in support of Low Temperature Geothermal Play Fairway Analysis for the Appalachian Basin (GPFA-AB, DOE Project DE-EE0006726). Phase 1 of the GPFA-AB project identified potential Geothermal Play Fairways within the Appalachian basin of Pennsylvania, West Virginia and New York. This was accomplished through analysis of 4 key criteria: thermal quality, natural reservoir productivity, risk of seismicity, and heat utilization. Each of these analyses represent a distinct project task, with the fifth task encompassing combination of the 4 risks factors. Supporting data for all five tasks has been uploaded into the Geothermal Data Repository node of the National Geothermal Data System (NGDS).

This submission comprises the data for Thermal Quality Analysis (project task 1) and includes all of the necessary shapefiles, rasters, datasets, code, and references to code repositories that were used to create the thermal resource and risk factor maps as part of the GPFA-AB project. The identified Geothermal Play Fairways are also provided with the larger dataset. Figures (.png) are provided as examples of the shapefiles and rasters. The regional standardized 1 square km grid used in the project is also provided as points (cell centers), polygons, and as a raster. Two ArcGIS toolboxes are available: 1) RegionalGridModels.tbx for creating resource and risk factor maps on the standardized grid, and 2) ThermalRiskFactorModels.tbx for use in making the thermal resource maps and cross sections. These toolboxes contain item description documentation for each model within the toolbox, and for the toolbox itself. This submission also contains three R scripts: 1) AddNewSeisFields.R to add seismic risk data to attribute tables of seismic risk, 2) StratifiedKrigingInterpolation.R for the interpolations used in the thermal resource analysis, and 3) LeaveOneOutCrossValidation.R for the cross validations used in the thermal interpolations.

Some file descriptions make reference to various 'memos'. These are contained within the final report submitted October 16, 2015.

Each zipped file in the submission contains an 'about' document describing the full Thermal Quality Analysis content available, along with key sources, authors, citation, use guidelines, and assumptions, with the specific file(s) contained within the .zip file highlighted.

UPDATE: Newer version of the Thermal Quality Analysis has been added here: https://gdr.openei.org/submissions/879 (Also linked below) Newer version of the Combined Risk Factor Analysis has been added here: https://gdr.openei.org/submissions/880 (Also linked below) Regional Grid Shapefiles and Raster used in Thermal Quality Analysis task of Low Temperature Geothermal Play Fairway Analysis for the Appalachian Basin. Polygon (Fishnet2.shp and associated files), Point (Fishnet2_label.shp and associated files) and Raster grid (GridNAD.tif) are included, made using ArcGIS Create Fishnet tool.

There is an associated file containing the ArcGIS Toolbox with the Regional Grid Models, (ArcGISToolbox_RegionalGridModels.zip) .

The shapefiles, ArcGIS toolbox, and R script contained within these two .zip files were used to convert vector and raster files to the standardized 1 square km grid used in this project. The code is general enough to be used in other studies that may need to work on a standard grid. ArcGIS 10.1 or later is needed to use the models in the toolbox.

Details regarding methods for seismic risk factor conversion (within the toolbox) may be found in the memo contained within the project final report entitled 14_GPFA-AB_SeismicRiskMapCreationMethods.pdf (Smith and Horowitz, 2015).

The R script AddNewSeisFieldsFunctions.R implements some of the methods described in the memo.

Details about all of the ArcGIS toolbox models may be found in the memo entitled 16_GPFA-AB_RiskAnalysisAndRiskFactorDescriptions.pdf (Whealton, et al., 2015). Some models have been given different names since the memo was written. These models have the former names listed next to the current model name in the list above.

(Link to Metadata) Generated from exact latitude-longitude coordinates and projected from Geographic coordinates (Lat/Long) NAD83 into State Plane Meters NAD83. The Arc/Info GENERATE command was used with the following parameters; generate BoundaryTile_QUAD83 fishnet no labels -73.500,42.625 -73.500,42.725 0.125,0.125 20,17 The Arc/Info project command was then used to re-project from Geographic (DD)NAD83 into Vermont State Plane Meters (NAD83). Extraneous polygons where removed. Polygon label points where transfered from the QUAD coverage into the new coverage, resulting in duplicate attribute items. The tics in this data layer should only be used for digitizing if your source data is in NAD83! Use BoundaryTile_QUAD27 if your source data is in NAD27. In both cases you should re-project this coverage into UTM before digitizing. When you've completed your digitizing work re-project the data back into Vermont State Plane Meters NAD83.

Note, this version 10-minute by 10-minute grid cells is not clipped to the Great Lakes shoreline, however see clipped companion dataset if shoreline representation is needed.After the union of the Lake Huron and 10 min by 10 min grid coverages, some of the resulting polygons were unioned and nearly all were assigned unique ID numbers as to correpond to the generally accepted 10 min grid definition used by the fishery community. This attribute is found under the field titled "Grid10min." For example maps containing said generally accepted grid definitions, see for example: <"Status of the Fishery Resource - 1989"; A Report by the Technical Fisheries Review Committee on the Assessment of Major Fish Stocks in those Waters of the Upper Great Lakes Ceded in the Treaty of 1836; U.S. Fish and Wildlife Service, Michigan Department of Natural Resources, Chippewa/Ottawa Treaty Fishery Management Authority; Appendix Figure B1.2>. Additional attributes include which Whitefish Management Unit "Wfm_units" and Statistical District "Stat_dist" each 10 minute by 10 minute grid belongs to (as defined by the State of Michigan Department of Natural Resources Fisheries Division) and "Area" in square meters (since meters are the map units of Michigan GeoRef), "Perimeter" in meters, and "Hectares" which were all calculated with the ArcView Xtools Meters/Hectares extension (XtoolsMH.avx).After merging the shoreline pieces there were two known gaps on the Michigan shore (most likely near the intersection of counties). These were sealed by graphically adding arcs to fill the gap (so that polygons that would not "leak out" could be created). There is no guarantee regarding the accuracy of this editing. The two edits were done at approximately: -83.32 lon, 44.50 lat; -84.22 lon, 46.00 lat.The Mackinac Bridge between the Michigan lower peninsula and Michigan upper peninsula was not included with the NOAA shoreline data that was merged. It was also added graphically, extending from approximately -84.73 lon, 45.79 lat to -84.72, 45.85.There has been a reduction of detail from the original shoreline data and grid during editing within ArcInfo/ArcView due to tolerances/snapping/etc. which would be evident upon comparison of this coverage with the two original coverages. The original grid coverage was created in ArcInfo using the Generate command - Fishnet option and was "straight" prior to union. After union of the two coverages, close inspection of some of the grid polygon border-arcs will reveal slight shifts in their "straightness". There has been no attempt to remedy said flaw. It is believed that the overall accuracy is within reason for many fishery applications.

Index to 1:200,000 Soviet topographic maps of Mozambique. Footprints were created using the fishnet tool, and attribute data supplied by UC Santa Barbara Library.

After the union of the Lake Huron and 10 min by 10 min grid coverages, some of the resulting polygons were unioned and nearly all were assigned unique ID numbers as to correpond to the generally accepted 10 min grid definition used by the fishery community. This attribute is found under the field titled "Grid10min." For example maps containing said generally accepted grid definitions, see for example: <"Status of the Fishery Resource - 1989"; A Report by the Technical Fisheries Review Committee on the Assessment of Major Fish Stocks in those Waters of the Upper Great Lakes Ceded in the Treaty of 1836; U.S. Fish and Wildlife Service, Michigan Department of Natural Resources, Chippewa/Ottawa Treaty Fishery Management Authority; Appendix Figure B1.2>. Additional attributes include which Whitefish Management Unit "Wfm_units" and Statistical District "Stat_dist" each 10 minute by 10 minute grid belongs to (as defined by the State of Michigan Department of Natural Resources Fisheries Division) and "Area" in square meters (since meters are the map units of Michigan GeoRef), "Perimeter" in meters, and "Hectares" which were all calculated with the ArcView Xtools Meters/Hectares extension (XtoolsMH.avx).For quality information regarding the shoreline, please refer to the associated metadata cited previously. After merging the shoreline pieces there were two known gaps on the Michigan shore (most likely near the intersection of counties). These were sealed by graphically adding arcs to fill the gap (so that polygons that would not "leak out" could be created). There is no guarantee regarding the accuracy of this editing. The two edits were done at approximately: -83.32 lon, 44.50 lat; -84.22 lon, 46.00 lat.The Mackinac Bridge between the Michigan lower peninsula and Michigan upper peninsula was not included with the NOAA shoreline data that was merged. It was also added graphically, extending from approximately -84.73 lon, 45.79 lat to -84.72, 45.85. There is no gurantee regarding the accuracy of this editing.The has been a reduction of detail from the original shoreline data and grid during editing within ArcInfo/ArcView due to tolerances/snapping/etc. which would be evident upon comparison of this coverage with the two original coverages. The original grid coverage was created in ArcInfo using the Generate command - Fishnet option and was "straight" prior to union. After union of the two coverages, close inspection of some of the grid polygon border-arcs will reveal slight shifts in their "straightness". There has been no attempt to remedy said flaw. It is believed that the overall accuracy is within reason for many fishery applications. Suggestions for fundamental edits to this coverage should be directed to the originator.

According to the distribution of cultivated land in 18 districts and counties in the "One River and Two Tributaries" region of Tibet Autonomous Region, a 5km × 5km grid was adopted, covering all cultivated land and greenhouse land. A total of 1092 5km × 5km grids were set up, and each grid contains a number. Data processing method: the fishnet tool in ArcGIS 10.3 is used to generate the grid covering the administrative boundaries of 18 districts and counties in the "one river, two rivers" region of Tibet Autonomous Region, and then the intersect tool is used to generate the grid covering cultivated land. The data can be used to collect soil samples of cultivated land in "One River and Two Tributaries" area of Tibet Autonomous Region.

CalEnviroScreen is a statewide environmental health screening tool created by the California Office of Environmental Health Hazard Assessment (OEHHA) as part of the California Protection Agency’s Environmental Justice Program. The tool aims to identify communities that are burdened by pollution from multiple sources and vulnerable to its effects. CalEnviroScreen 3.0 uses 20 indicators of pollution, environmental quality, and socieoeconomic and public health conditions. CalEnviroScreen score is reported in percentile statewide.Fishnet & Report Processing: The fishnet summarizes the CalEnviroScreen percentile statewide of each grid cell by extracting the percentile value that intersects with the fishnet cell centroid. To calculate the report measure, minimum, maximum, and mean percentile were calculated for an area of interest.

Groundwater dependent ecosystems (GDEs) are defined under the Sustainable Groundwater Management Act (SGMA) as “ecological communities or species that depend on groundwater emerging from aquifers or on groundwater occurring near the ground surface.” The Natural Communities Commonly Associated with Groundwater (NCCAG) Vegetation data set is a compilation phreatophytic vegetation from 45 publicly available state agency and federal data sets. The extracted vegetation features are considered to be commonly associated with groundwater based on published and/or field observations of phreatophytic characteristics in California.The purpose of the NCCAG Vegetation data set is to identify vegetation that is commonly associated with groundwater in California's 517 Groundwater Basins defined in Bulletin 118 (2016). The associated data are considered DWR enterprise GIS data, which meet all appropriate requirements of the DWR Spatial Data Standards, specifically the DWR Spatial Data Standard version 2.1, dated March 9, 2016. The features in the data set were not created by DWR. Data were originally developed by California Department of Fish and Wildlife (CDFW), U.S. Department of Agriculture - Forest Service (USDA-FS), California Department of Forestry and Fire Protection (CDFF), and U.S. Fish and Wildlife Service (USFWS). Features in the NCCAG Vegetation data set were merely extracted from these sources under a set of defined rules and procedures. DWR makes no warranties or guarantees — either expressed or implied — as to the completeness, accuracy, or correctness of the data. DWR neither accepts nor assumes liability arising from or for any incorrect, incomplete, or misleading subject data. The official DWR subject matter expert for this data set is Amy Lyons, who may be contacted at 530-528-7439, or at amy.lyons@water.ca.gov. The official DWR GIS Steward for this data set is Wyatt Arnold, who may be contacted at 916-653-4849, or at wyatt.arnold@water.ca.gov. Comments, problems, improvements, updates, or suggestions should be forwarded to the subject matter expert or GIS Steward as available and appropriate.Preprocessing methods: Included only vegetation types commonly associated with groundwater (excluding the associated wetland features dataset). Dissolved all vegetation polygons into one feature.Fishnet & Report Processing methods: The fishnet summarizes acres of groundwater dependent ecosystems within each grid cell. To calculate the report measure, total acres of groundwater dependent ecosystems were summed for an area of interest.