The Michigan Department of Transportation (MDOT) manages several Linear Referencing Systems (LRS) for the State including the Physical Road (PR), Control Section (CS) and Route networks These networks include Michigan's Roads, Rails, Trails & more. MDOT also partners with the Michigan State Police (MSP), Department of Natural Resources (DNR), Department of Technology Management & Budged (DTMB) and others to manage the Michigan LRS.For more information, please view the Michigan Linear Referencing Home Page.

This dataset was created to be used in my Capstone Project for the Google Data Analytics Professional Certificate. Data was web scraped from the state websites to combine the GIS information like FIPS, latitude, longitude, and County Codes by both number and Mailing Number.

RStudio was used for this web scrape and join. For details on how it was done you can go to the following link for my Github repository.

Feel free to follow my Github or LinkedIn profile to see what I end up doing with this Dataset.

Fish habitat model and visualization of habitat niche using GRASS GIS r.fuzzy.system and R

This volume contains the papers presented at GIS Research UK 2015 (GISRUK2015) held at the School of Geography, University of Leeds, on 15-17 April 2015.

These data provide an accurate high-resolution shoreline compiled from imagery of Port of Cleveland, OH . This vector shoreline data is based on an office interpretation of imagery that may be suitable as a geographic information system (GIS) data layer. This metadata describes information for both the line and point shapefiles. The NGS attribution scheme 'Coastal Cartographic Object Attribute Source Table (C-COAST)' was developed to conform the attribution of various sources of shoreline data into one attribution catalog. C-COAST is not a recognized standard, but was influenced by the International Hydrographic Organization's S-57 Object-Attribute standard so the data would be more accurately translated into S-57. This resource is a member of https://www.fisheries.noaa.gov/inport/item/39808

These data provide an accurate high-resolution shoreline compiled from imagery of Port of Tacoma, WA . This vector shoreline data is based on an office interpretation of imagery that may be suitable as a geographic information system (GIS) data layer. This metadata describes information for both the line and point shapefiles. The NGS attribution scheme 'Coastal Cartographic Object Attribute Source Table (C-COAST)' was developed to conform the attribution of various sources of shoreline data into one attribution catalog. C-COAST is not a recognized standard, but was influenced by the International Hydrographic Organization's S-57 Object-Attribute standard so the data would be more accurately translated into S-57. This resource is a member of https://www.fisheries.noaa.gov/inport/item/39808

These data provide an accurate high-resolution shoreline compiled from imagery of Portland, ME . This vector shoreline data is based on an office interpretation of imagery that may be suitable as a geographic information system (GIS) data layer. This metadata describes information for both the line and point shapefiles. The NGS attribution scheme 'Coastal Cartographic Object Attribute Source...

This project file contains row research data and result data that have been used for the paper entitled "GIS-based multi-criteria analysis for Arabica coffee expansion in Rwanda" by Innocent Nzeyimana, Alfred E. Hartemink, Violette Geissen. http://dx.doi.org/10.6084/m9.figshare.1128594- See more at: http://figshare.com/preview/_preview/1128594#sthash.QkGK7m8Y.dpuf

These data provide an accurate high-resolution shoreline compiled from imagery of Port of Oak/Crescent Harbor, WA . This vector shoreline data is based on an office interpretation of imagery that may be suitable as a geographic information system (GIS) data layer. This metadata describes information for both the line and point shapefiles. The NGS attribution scheme 'Coastal Cartographic Object Attribute Source Table (C-COAST)' was developed to conform the attribution of various sources of shoreline data into one attribution catalog. C-COAST is not a recognized standard, but was influenced by the International Hydrographic Organization's S-57 Object-Attribute standard so the data would be more accurately translated into S-57. This resource is a member of https://www.fisheries.noaa.gov/inport/item/39808

UniGR cross-border study DFHI-ISFATES: Computer Science (M.Sc.) Source: DFHI-ISFATES Link to interactive map: https://map.gis-gr.eu/theme/main?version=3&zoom=8&X=708580&Y=6429642&lang=fr&rotation=0&layers=2273&opacities=1&bgLayer=basemap_2015_global Link to Geocatalog: https://geocatalogue.gis-gr.eu/geonetwork/srv/eng/catalog.search#/metadata/0214a3be-688b-4bac-b174-724c62857ff8 This dataset is published in the view service (WMS) available at: https://ws.geoportail.lu/wss/service/GR_Cross_border_programmes_science_mathematics_computing_2023_WMS/guest with layer name(s): -DFHI_ISFATES_Computer_Science_MSc

These data provide an accurate high-resolution shoreline compiled from imagery of PORT OF HUMBOLDT/EUREKA, CA . This vector shoreline data is based on an office interpretation of imagery that may be suitable as a geographic information system (GIS) data layer. This metadata describes information for both the line and point shapefiles. The NGS attribution scheme 'Coastal Cartographic Object At...

These data provide an accurate high-resolution shoreline compiled from imagery of Port of Richmond, VA . This vector shoreline data is based on an office interpretation of imagery that may be suitable as a geographic information system (GIS) data layer. This metadata describes information for both the line and point shapefiles. The NGS attribution scheme 'Coastal Cartographic Object Attribute...

A list of some useful historical points of interest for Penmaenmawr in North Wales. Coordinates are WGS-84.

These data provide an accurate high-resolution shoreline compiled from imagery of PORT OF ANACORTES, WA . This vector shoreline data is based on an office interpretation of imagery that may be suitable as a geographic information system (GIS) data layer. This metadata describes information for both the line and point shapefiles. The NGS attribution scheme 'Coastal Cartographic Object Attribut...

A link to the DEFRA website detailing the different types of Earth Observation Available via API's and archive data from the Earth Observation Data Service.

Sandy Springs Zoning adopted 8/15/2017. More information is available at https://www.sandyspringsga.gov/planning-and-zoning

These data provide an accurate high-resolution shoreline compiled from imagery of PORT OF MIAMI, FL . This vector shoreline data is based on an office interpretation of imagery that may be suitable as a geographic information system (GIS) data layer. This metadata describes information for both the line and point shapefiles. The NGS attribution scheme 'Coastal Cartographic Object Attribute Source Table (C-COAST)' was developed to conform the attribution of various sources of shoreline data into one attribution catalog. C-COAST is not a recognized standard, but was influenced by the International Hydrographic Organization's S-57 Object-Attribute standard so the data would be more accurately translated into S-57. This resource is a member of https://www.fisheries.noaa.gov/inport/item/39808

Grab GIS log data from Haig Fras SCI/cSAC survey. The primary aim was to conduct a bathymetric survey to map the extent of the Annex I reef habitat and to collect ground truth data from representative locations within the survey area to characterise the seabed habitats present.

These data provide an accurate high-resolution shoreline compiled from imagery of Port of Kelleys Island, OH . This vector shoreline data is based on an office interpretation of imagery that may be suitable as a geographic information system (GIS) data layer. This metadata describes information for both the line and point shapefiles. The NGS attribution scheme 'Coastal Cartographic Object Attribute Source Table (C-COAST)' was developed to conform the attribution of various sources of shoreline data into one attribution catalog. C-COAST is not a recognized standard, but was influenced by the International Hydrographic Organization's S-57 Object-Attribute standard so the data would be more accurately translated into S-57. This resource is a member of https://www.fisheries.noaa.gov/inport/item/39808

This is file containing the distance to the sea to be used with GIS systems, with 5 minutes resolution. The data is combined with this DEM: https://www.eea.europa.eu/data-and-maps/data/world-digital-elevation-model-etopo5/

This data was obtained with GRASS with this code: r.in.gdal alwdgg.tif output=alwdgg g.region rast=alwdgg r.mapcalc expression="sea=if(alwdgg<0,1,null())" r.grow.distance sea distance=distSea metric=geodesic r.out.gdal distSea output=distSea.tif