Surficial_Sand_Thickness_Points (MapServer)

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Service Description: <DIV STYLE="text-align:Left;"><DIV><P><SPAN>SAND_ILITH_PTS_IN is a point shapefile that shows total thickness of sand, as derived from logs of water wells in the state of Indiana. (It presents the source data in a shapefile format that was used to create a grid named "SAND_ILITH_IN.") The data were obtained from the iLITH Database of the Indiana Geological Survey. The following explanation of the iLITH Database appears in Open-File Study 00-8 of the Indiana Geological Survey: "iLITH is a Microsoft Access database containing GIS capabilities that allows users to interact with a portion of the Indiana Department of Natural Resources (IDNR) Water-Well Record Database. iLITH differs from the IDNR database in that lithologic descriptions and drilling contractor names have been standardized, locational information for ~104,000 water-well logs has been verified, and the spatial information in the database has been standardized for use with USGS digital elevation data and US Census Bureau Tiger data. The iLITH graphical interface facilitates efficient interaction between the user and the database." Using Microsoft Access, queries were constructed that summed the total thickness of sand and gravel units for each well. Units with the following designations were included in the summation: "sand," "sand and clay," "sand and gravel," "sand with clay," "sand with clay streaks," "sand with gravel," "silt and sand," "gravel," "gravel and clay," "gravel and stone," "gravel with boulders," "gravel with clay," "gravel with clay streaks," and "gravel with sand." Some inconsistencies in the database were eliminated. The resulting table was then exported from Microsoft Access and imported into ESRI ArcView 3.2 to construct a point shapefile.</SPAN></P></DIV></DIV>

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Surficial_Sand_Thickness_Points (106)

Description: <DIV STYLE="text-align:Left;"><DIV><P><SPAN>SAND_ILITH_PTS_IN is a point shapefile that shows total thickness of sand, as derived from logs of water wells in the state of Indiana. (It presents the source data in a shapefile format that was used to create a grid named "SAND_ILITH_IN.") The data were obtained from the iLITH Database of the Indiana Geological Survey. The following explanation of the iLITH Database appears in Open-File Study 00-8 of the Indiana Geological Survey: "iLITH is a Microsoft Access database containing GIS capabilities that allows users to interact with a portion of the Indiana Department of Natural Resources (IDNR) Water-Well Record Database. iLITH differs from the IDNR database in that lithologic descriptions and drilling contractor names have been standardized, locational information for ~104,000 water-well logs has been verified, and the spatial information in the database has been standardized for use with USGS digital elevation data and US Census Bureau Tiger data. The iLITH graphical interface facilitates efficient interaction between the user and the database." Using Microsoft Access, queries were constructed that summed the total thickness of sand and gravel units for each well. Units with the following designations were included in the summation: "sand," "sand and clay," "sand and gravel," "sand with clay," "sand with clay streaks," "sand with gravel," "silt and sand," "gravel," "gravel and clay," "gravel and stone," "gravel with boulders," "gravel with clay," "gravel with clay streaks," and "gravel with sand." Some inconsistencies in the database were eliminated. The resulting table was then exported from Microsoft Access and imported into ESRI ArcView 3.2 to construct a point shapefile.</SPAN></P></DIV></DIV>

Service Item Id: 9853be4c70ab4dbfb2119cadc725371e

Copyright Text:

Spatial Reference: 102100 (3857) LatestVCSWkid(0)

Single Fused Map Cache: false

Initial Extent:

Full Extent:

Units: esriMeters

Supported Image Format Types: PNG32,PNG24,PNG,JPG,DIB,TIFF,EMF,PS,PDF,GIF,SVG,SVGZ,BMP

Document Info:

Supports Dynamic Layers: true

MaxRecordCount: 2000

MaxSelectionCount: 2000

MaxImageHeight: 4096

MaxImageWidth: 4096

Supported Query Formats: JSON, geoJSON, PBF

Supports Query Data Elements: true

Min Scale: 0

Max Scale: 0

Supports Datum Transformation: true

Child Resources: Info Dynamic Layer

Supported Operations: Export Map Identify QueryLegends QueryDomains Find Return Updates