100+ datasets found
  1. C

    Google Maps Heat Map Analysis for Colorado Springs

    • caseysseo.com
    application/xlsx, pdf
    Updated Jul 1, 2025
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    Casey Miller (2025). Google Maps Heat Map Analysis for Colorado Springs [Dataset]. https://www.caseysseo.com/google-maps-heat-map-analysis/
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    pdf, application/xlsxAvailable download formats
    Dataset updated
    Jul 1, 2025
    Dataset provided by
    Casey's SEO
    Authors
    Casey Miller
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    2025
    Area covered
    Old Colorado City, Colorado Springs, Pikes Peak, North Academy, The Broadmoor, El Paso County, Powers Corridor, Colorado Springs
    Variables measured
    Google Maps Search Intensity, Powers Corridor Cost Savings, North Academy Demographic Profile, The Broadmoor Search Conversion Rate, Old Colorado City Demographic Targeting, Downtown Colorado Springs Mobile Search Growth
    Measurement technique
    Demographic analysis using U.S. Census and local government sources, Industry benchmarking against regional and national trends, Aggregated and anonymized Google Maps search volume data, Qualitative customer interviews and field observations
    Description

    Comprehensive geographic search pattern analysis revealing where Colorado Springs customers conduct Google Maps searches, with neighborhood-specific trends and demographic influences across the Pikes Peak region.

  2. a

    Interactive GIS Mapping Tool – Fully Appropriated Stream Systems (FASS) in...

    • hub.arcgis.com
    • gis.data.ca.gov
    • +1more
    Updated Apr 5, 2021
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    California Water Boards (2021). Interactive GIS Mapping Tool – Fully Appropriated Stream Systems (FASS) in California [Dataset]. https://hub.arcgis.com/maps/6e9e2a7727ab46f8b76244cff111a4ee
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    Dataset updated
    Apr 5, 2021
    Dataset authored and provided by
    California Water Boards
    Area covered
    Description

    This mapping tool provides a representation of the general watershed boundaries for stream systems declared fully appropriated by the State Water Board. The boundaries were created by Division of Water Rights staff by delineating FASS critical reaches and consolidating HUC 12 sub-watersheds to form FASS Watershed boundaries. As such, the boundaries are in most cases conservative with respect to the associated stream system. However, users should check neighboring FASS Watersheds to ensure the stream system of interest is not restricted by other FASS listings. For more information regarding the Declaration of Fully Appropriated Stream Systems, visit the Division of Water Rights’ Fully Appropriated Streams webpage. How to Use the Interactive Mapping Tool: If it is your first time viewing the map, you will need to click the “OK” box on the splash screen and agree to the disclaimer before continuing. Navigate to your point of interest by either using the search bar or by zooming in on the map. You may enter a stream name, street address, or watershed ID in the search bar. Click on the map to identify the location of interest and one or more pop-up boxes may appear with information about the fully appropriated stream systems within the general watershed boundaries of the identified location. The information provided in the pop-up box may include: (a) stream name, (b) tributary, (c) season declared fully appropriated, (d) Board Decisions/Water Right Orders, and/or (e) court references/adjudications. You may toggle the FAS Streams reference layer on and off to find representative critical reaches associated with the FASS Watershed layer. Please note that this layer is for general reference purposes only and ultimately the critical reach listed in Appendix A of Water Rights Order 98-08 and Appendix A together with any associated footnotes controls. Note: A separate FAS Watershed boundary layer was created for the Bay-Delta Watershed. The Bay-Delta Watershed layer should be toggled on to check if the area of interest is fully appropriated under State Water Board Decision 1594.

  3. Digital Property Maps

    • open.canada.ca
    • datasets.ai
    • +2more
    html
    Updated Jan 9, 2025
    + more versions
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    Government of New Brunswick (2025). Digital Property Maps [Dataset]. https://open.canada.ca/data/en/dataset/56f75efc-3681-34ce-6440-c2c8a8457332
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    htmlAvailable download formats
    Dataset updated
    Jan 9, 2025
    Dataset provided by
    Government of New Brunswickhttps://www.gnb.ca/
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Description

    Approximate boundaries for all land parcels in New Brunswick. The boundaries are structured as Polygons. The Property Identifier number or PID is included for each parcel.

  4. a

    Parcel Map - Public

    • hub.arcgis.com
    • presentation-auburnme.hub.arcgis.com
    • +1more
    Updated Nov 1, 2019
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    AccessAuburn (2019). Parcel Map - Public [Dataset]. https://hub.arcgis.com/maps/4d8678df85254eeb85cdb08a85f15782
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    Dataset updated
    Nov 1, 2019
    Dataset authored and provided by
    AccessAuburn
    Area covered
    Description

    Auburn Maine's parcel Inquiry map with optional zoning and high-resolution aerial photography. Optional zoning layers. Map provides detailed assessing data for each parcel as well as links to WebPro assessing records and Google Street View. Users can search for parcels using parcel ID, location, or owner name. Advanced search options provide ability to select and buffer parcels with an optional export to csv file.

  5. d

    Shoreline Mapping Program of LAKE HURON, ST VITAL POINT TO SEARCH BAY, MI,...

    • catalog.data.gov
    • gimi9.com
    • +2more
    Updated Oct 31, 2024
    + more versions
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    NGS Communications and Outreach Branch (Point of Contact, Custodian) (2024). Shoreline Mapping Program of LAKE HURON, ST VITAL POINT TO SEARCH BAY, MI, MI0905D [Dataset]. https://catalog.data.gov/dataset/shoreline-mapping-program-of-lake-huron-st-vital-point-to-search-bay-mi-mi0905d1
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    Dataset updated
    Oct 31, 2024
    Dataset provided by
    NGS Communications and Outreach Branch (Point of Contact, Custodian)
    Area covered
    Lake Huron, Search Bay, Michigan
    Description

    These data provide an accurate high-resolution shoreline compiled from imagery of LAKE HURON, ST VITAL POINT TO SEARCH BAY, MI . 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

  6. d

    MD iMAP: Maryland Property Data - Tax Map Grids

    • catalog.data.gov
    • opendata.maryland.gov
    • +2more
    Updated May 10, 2025
    + more versions
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    opendata.maryland.gov (2025). MD iMAP: Maryland Property Data - Tax Map Grids [Dataset]. https://catalog.data.gov/dataset/md-imap-maryland-property-data-tax-map-grids
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    Dataset updated
    May 10, 2025
    Dataset provided by
    opendata.maryland.gov
    Area covered
    Maryland
    Description

    This is a MD iMAP hosted service layer. Find more information at http://imap.maryland.gov. This layer contains the boundaries and IDs of the Maryland tax maps produced by Maryland Department of Planning. Tax maps - also known as assessment maps - property maps or parcel maps - are a graphic representation of real property showing and defining individual property boundaries in relationship to contiguous real property. Last Updated: Feature Service Layer Link: https://mdgeodata.md.gov/imap/rest/services/PlanningCadastre/MD_PropertyData/MapServer ADDITIONAL LICENSE TERMS: The Spatial Data and the information therein (collectively "the Data") is provided "as is" without warranty of any kind either expressed implied or statutory. The user assumes the entire risk as to quality and performance of the Data. No guarantee of accuracy is granted nor is any responsibility for reliance thereon assumed. In no event shall the State of Maryland be liable for direct indirect incidental consequential or special damages of any kind. The State of Maryland does not accept liability for any damages or misrepresentation caused by inaccuracies in the Data or as a result to changes to the Data nor is there responsibility assumed to maintain the Data in any manner or form. The Data can be freely distributed as long as the metadata entry is not modified or deleted. Any data derived from the Data must acknowledge the State of Maryland in the metadata.

  7. w

    Websites using Acf Search Google Maps

    • webtechsurvey.com
    csv
    Updated Apr 16, 2025
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    WebTechSurvey (2025). Websites using Acf Search Google Maps [Dataset]. https://webtechsurvey.com/technology/acf-search-google-maps
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    csvAvailable download formats
    Dataset updated
    Apr 16, 2025
    Dataset authored and provided by
    WebTechSurvey
    License

    https://webtechsurvey.com/termshttps://webtechsurvey.com/terms

    Time period covered
    2025
    Area covered
    Global
    Description

    A complete list of live websites using the Acf Search Google Maps technology, compiled through global website indexing conducted by WebTechSurvey.

  8. C

    Local Search Personalization: 2025 Customer Journey Map

    • caseysseo.com
    html
    Updated Jul 25, 2025
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    Casey Miller (2025). Local Search Personalization: 2025 Customer Journey Map [Dataset]. https://caseysseo.com/local-search-personalization-2025-customer-journey-map
    Explore at:
    htmlAvailable download formats
    Dataset updated
    Jul 25, 2025
    Dataset provided by
    Casey's SEO
    Authors
    Casey Miller
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    2025
    Area covered
    Colorado Springs
    Variables measured
    Mobile Traffic Percentage, Military Population Percentage, Recent Review Recency Importance, Webpage Load Time Abandonment Rate, Google Business Profile Completeness, Voice Search Optimization Importance, Local Search Growth in Colorado Springs, Google's Core Web Vitals as Ranking Factor
    Measurement technique
    Analysis of industry reports and trends, Technical testing and performance monitoring, Customer surveys and interviews, Competitive benchmarking and case studies
    Description

    This dataset provides a comprehensive analysis of local search personalization trends, customer journey mapping, and AI-driven search behavior in 2025. It covers how mobile-first consumers find and interact with local businesses through personalized search results, voice search, and enhanced business profiles.

  9. g

    APD Crime Search Interactive Map Guide | gimi9.com

    • gimi9.com
    Updated Aug 12, 2025
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    (2025). APD Crime Search Interactive Map Guide | gimi9.com [Dataset]. https://gimi9.com/dataset/data-gov_apd-crime-search-interactive-map-guide/
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    Dataset updated
    Aug 12, 2025
    Description

    🇺🇸 미국 English Guide for Crime Search Interactive Map feature of the APD Community Connect initiative

  10. d

    Outscraper Google Maps Scraper

    • datarade.ai
    .json, .csv, .xls
    Updated Dec 9, 2021
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    (2021). Outscraper Google Maps Scraper [Dataset]. https://datarade.ai/data-products/outscraper-google-maps-scraper-outscraper
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    .json, .csv, .xlsAvailable download formats
    Dataset updated
    Dec 9, 2021
    Area covered
    United States
    Description

    Are you looking to identify B2B leads to promote your business, product, or service? Outscraper Google Maps Scraper might just be the tool you've been searching for. This powerful software enables you to extract business data directly from Google's extensive database, which spans millions of businesses across countless industries worldwide.

    Outscraper Google Maps Scraper is a tool built with advanced technology that lets you scrape a myriad of valuable information about businesses from Google's database. This information includes but is not limited to, business names, addresses, contact information, website URLs, reviews, ratings, and operational hours.

    Whether you are a small business trying to make a mark or a large enterprise exploring new territories, the data obtained from the Outscraper Google Maps Scraper can be a treasure trove. This tool provides a cost-effective, efficient, and accurate method to generate leads and gather market insights.

    By using Outscraper, you'll gain a significant competitive edge as it allows you to analyze your market and find potential B2B leads with precision. You can use this data to understand your competitors' landscape, discover new markets, or enhance your customer database. The tool offers the flexibility to extract data based on specific parameters like business category or geographic location, helping you to target the most relevant leads for your business.

    In a world that's growing increasingly data-driven, utilizing a tool like Outscraper Google Maps Scraper could be instrumental to your business' success. If you're looking to get ahead in your market and find B2B leads in a more efficient and precise manner, Outscraper is worth considering. It streamlines the data collection process, allowing you to focus on what truly matters – using the data to grow your business.

    https://outscraper.com/google-maps-scraper/

    As a result of the Google Maps scraping, your data file will contain the following details:

    Query Name Site Type Subtypes Category Phone Full Address Borough Street City Postal Code State Us State Country Country Code Latitude Longitude Time Zone Plus Code Rating Reviews Reviews Link Reviews Per Scores Photos Count Photo Street View Working Hours Working Hours Old Format Popular Times Business Status About Range Posts Verified Owner ID Owner Title Owner Link Reservation Links Booking Appointment Link Menu Link Order Links Location Link Place ID Google ID Reviews ID

    If you want to enrich your datasets with social media accounts and many more details you could combine Google Maps Scraper with Domain Contact Scraper.

    Domain Contact Scraper can scrape these details:

    Email Facebook Github Instagram Linkedin Phone Twitter Youtube

  11. d

    Digital Line Graph - 1:100,000 scale

    • search.dataone.org
    • catalog.data.gov
    Updated Mar 30, 2017
    + more versions
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    U.S. Geological Survey (USGS) Earth Resources Observation and Science (EROS) Center (2017). Digital Line Graph - 1:100,000 scale [Dataset]. https://search.dataone.org/view/4ba6b26f-beb1-467e-9d7a-58be91639522
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    Dataset updated
    Mar 30, 2017
    Dataset provided by
    USGS Science Data Catalog
    Authors
    U.S. Geological Survey (USGS) Earth Resources Observation and Science (EROS) Center
    Area covered
    Description

    Digital line graph (DLG) data are digital representations of cartographic information. DLGs of map features are converted to digital form from maps and related sources. Intermediate-scale DLG data are derived from USGS 1:100,000-scale 30- by 60-minute quadrangle maps. If these maps are not available, Bureau of Land Management planimetric maps at a scale of 1:100,000 are used. Intermediate-scale DLGs are sold in five categories: (1) Public Land Survey System; (2) boundaries; (3) transportation; (4) hydrography; and (5) hypsography. All DLG data distributed by the USGS are DLG-Level 3 (DLG-3), which means the data contain a full range of attribute codes, have full topological structuring, and have passed certain quality-control checks.

  12. m

    Maryland Property Data - Tax Maps Image Service

    • data.imap.maryland.gov
    • hub.arcgis.com
    • +1more
    Updated Sep 1, 2017
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    ArcGIS Online for Maryland (2017). Maryland Property Data - Tax Maps Image Service [Dataset]. https://data.imap.maryland.gov/datasets/351ef2fd456942919a5c1641608e8197
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    Dataset updated
    Sep 1, 2017
    Dataset authored and provided by
    ArcGIS Online for Maryland
    Area covered
    Description

    This Image Service of Maryland Property Data allows for the manipulation of the display properties of the Statewide Tax Maps dataset. This is a MD iMAP hosted service. Find more information at https://imap.maryland.gov.Image Service Link: https://mdgeodata.md.gov/imap/rest/services/PlanningCadastre/MD_PropertyData/ImageServer

  13. G

    Business Locations

    • gomask.ai
    csv, json
    Updated Oct 29, 2025
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    GoMask.ai (2025). Business Locations [Dataset]. https://gomask.ai/marketplace/datasets/business-locations
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    json, csv(10 MB)Available download formats
    Dataset updated
    Oct 29, 2025
    Dataset provided by
    GoMask.ai
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Time period covered
    2024 - 2025
    Area covered
    Global
    Variables measured
    latitude, is_active, longitude, business_id, address_city, last_updated, address_state, business_name, contact_email, contact_phone, and 9 more
    Description

    This dataset provides comprehensive details on commercial business locations, including full address breakdown, GPS coordinates, business hours, contact information, and location type classifications. It is ideal for mapping, local search, market analysis, and operational planning, enabling users to identify, analyze, and visualize business presence and accessibility across regions.

  14. e

    Base map

    • data.europa.eu
    json
    Updated Feb 20, 2022
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    Helsingborgs stad (2022). Base map [Dataset]. https://data.europa.eu/data/datasets/https-datakatalog-helsingborg-se-store-3-resource-356/embed
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Feb 20, 2022
    Dataset authored and provided by
    Helsingborgs stad
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The base map consists of the city’s basic geographical information and has the highest level of detail used in the urban development area as a whole. The map is also used outside the city’s activities in areas such as planning and planning. By providing the base map as open data, the city opens up for wider use and the possibility of new innovative applications.ContentBasic map includes:

    BuildingsCommunicationMarket useAddressesRegistermap (property limits and rights, etc.) The information in the register map has no legal effect and may be poorly accurate. In case of exact information requirements, verification should be carried out on the basis of decision documents.AtkomstBaskartan is downloaded via http://kartor.helsingborg.se/oppnageodata/baskarta.phpFormat and object modelThe map is delivered as a zip file containing one GeoJSON file per object type. Coordinate system is SWEREF99 13 30. The files are a direct export from the Helsingborg City Planning Administration’s database and are named as follows:

    Object types sometimes have attributes that come from domains. Then a value can be represented in a digit instead of saving a string over and over again. During export we have exploded the domains with the suffix “_resolved” so that they can still be seen in plain text.“PURPOSE”:10, “PURPOSE_resolved”:“Småhus — detached”

    The tables in the theme “Registration map” have a specific title in two letters. Exempel:Registerkarta AQIn order to understand the contents of those tables, it may help to examine the attribute “dep” where a more readable description is given. Complete documentation on the registry map is currently missing. However, Lantmäteriet provides similar products where table names exist. Please see exempel:https://www.lantmateriet.se/globalassets/kartor-oc...MetadataEn mapping to translate table names into English can be found here. Structure:[{“Geo object class”:“Facility, point”, “Geo object class English”:“MAPCONSTRUCTIONP”},... ]

    Refresh rate The zip file is updated weekly, the night between Saturday and Sunday. In the zip file there is a folder metadata. In it is readme.txt which contains a date stamp that tells you when the actual export was made.

    FAQ base map

    How can I look at the map without any specific program? Download the zip file and unpack it. Search “GeoJSON viewer” in your browser. For example, http://www.mapshaper.org/. Drag in and drop a GeoJSON file to view it.

    Can I use the base map in my CAD system?Plugin/app is available to Autodesk. https://apps.autodesk.com/ACD/en/Detail/Index?id=5...

    Can I use the base map in my GIS? QGIS has good support for GeoJSON. ArcMap requires Data Interopability add-on. FME can read and convert.

    Can I convert GeoJSON to shape? Several free services are available to convert to shape. Among others, http://www.mapshaper.org/.

  15. Global Sentinel-1 Burst ID Map - Dataset - NASA Open Data Portal

    • data.nasa.gov
    • s.cnmilf.com
    • +4more
    Updated Mar 31, 2025
    + more versions
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    nasa.gov (2025). Global Sentinel-1 Burst ID Map [Dataset]. https://data.nasa.gov/dataset/global-sentinel-1-burst-id-map
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    Dataset updated
    Mar 31, 2025
    Dataset provided by
    NASAhttp://nasa.gov/
    Description

    Sentinel-1 performs systematic acquisition of bursts in both IW and EW modes. The bursts overlap almost perfectly between different passes and are always located at the same place. With the deployment of the SAR processor S1-IPF 3.4, a new element has been added to the products annotations: the Burst ID, which should help the end user to identify a burst area of interest and facilitate searches. The Burst ID map is a complementary auxiliary product. The maps have a validity that covers the entire time span of the mission and they are global, i.e., they include as well information where no SAR data is acquired. Each granule contains information about burst and sub-swath IDs, relative orbit and burst polygon, and should allow for an easier link between a certain burst ID in a product and its corresponding geographic location.

  16. d

    1:100,000 Geological series map - Cheritons Find (2834) - Datasets -...

    • catalogue.data.wa.gov.au
    Updated Sep 3, 2018
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    (2018). 1:100,000 Geological series map - Cheritons Find (2834) - Datasets - data.wa.gov.au [Dataset]. https://catalogue.data.wa.gov.au/dataset/1-100-000-geological-series-map-cheritons-find-2834
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    Dataset updated
    Sep 3, 2018
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Western Australia, Cheritons Find
    Description

    Detailed geological mapping at 1:100 000 providing information on geological units, structural geology and faultlines, to produce a geological plan of the Cheritons Find region of Western Australia. The map was published in 1991. This data is held in GDA decimal degrees. Show full description

  17. b

    Planning and Land Development

    • gisdata.brla.gov
    • web-ebrgis.opendata.arcgis.com
    Updated Jan 24, 2023
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    East Baton Rouge GIS Map Portal (2023). Planning and Land Development [Dataset]. https://gisdata.brla.gov/datasets/planning-and-land-development-1
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    Dataset updated
    Jan 24, 2023
    Dataset authored and provided by
    East Baton Rouge GIS Map Portal
    Area covered
    Description

    The Planning and Land Development web experience provides a variety of property-related information such as lot boundaries, subdivisions, zoning district, and land use in East Baton Rouge Parish, Louisiana. Users have the options to turn on other various layers such as overlay districts, council districts, addresses and the tax parcel layer which is provided courtesy of the EBRP Assessor's Office.This application features three web maps including:Planning Cadastral Map at https://ebrgis.maps.arcgis.com/home/item.html?id=43e518581406442990aa676044796418Land Development Application Search Tool at https://ebrgis.maps.arcgis.com/home/item.html?id=c53a5bf66b994005a08978e84fc435d3Planning Reference Map at https://ebrgis.maps.arcgis.com/home/item.html?id=66ed92bfbe7446cabe0129009f8d3848

  18. Transit Agencies Map - Search Guide

    • data.iowadot.gov
    • hub.arcgis.com
    Updated Jul 6, 2021
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    Iowa Department of Transportation (2021). Transit Agencies Map - Search Guide [Dataset]. https://data.iowadot.gov/maps/a9b320963e6e4d5b96ad901f34be6378
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    Dataset updated
    Jul 6, 2021
    Dataset authored and provided by
    Iowa Department of Transportationhttps://iowadot.gov/
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Description

    This map shows the 16 different regions throughout the state of Iowa, along with the urban transit offices. The purpose of the map is to help visitors on the Public Transit webpage locate their local transit agency or office by clicking on their county or area. The pop-ups for the transit agencies and offices provides the necessary contact information needed to communicate with the agencies. This map was creating using data already available through the Iowa DOT GIS data source. Iowa DOT/Open Data Sources: Regional Transit Areas (Updated June 24, 2021), County (Updated July 2, 2021), and Transit Office (Updated on August 8, 2020).

  19. c

    State of Colorado Property Map

    • geodata.colorado.gov
    Updated Dec 22, 2022
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    State of Colorado (2022). State of Colorado Property Map [Dataset]. https://geodata.colorado.gov/maps/208e4301953543b38316271582040b47
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    Dataset updated
    Dec 22, 2022
    Dataset authored and provided by
    State of Colorado
    Area covered
    Description

    OSA web map to view State of Colorado property data

  20. d

    Data from: Geologic Map Index of Alaska

    • catalog.data.gov
    • s.cnmilf.com
    • +1more
    Updated Jul 5, 2023
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    Alaska Division of Geological & Geophysical Surveys (Point of Contact) (2023). Geologic Map Index of Alaska [Dataset]. https://catalog.data.gov/dataset/geologic-map-index-of-alaska1
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    Dataset updated
    Jul 5, 2023
    Dataset provided by
    Alaska Division of Geological & Geophysical Surveys (Point of Contact)
    Area covered
    Alaska
    Description

    The Geologic Map Index of Alaska (Map Index) is a GIS web feature service paired with an interactive web map application that provides access to an actively growing geographic index of geology-related maps of Alaska and adjacent areas. This online research tool provides the locations and outlines of most DGGS and U.S. Geological Survey (USGS) geologic maps of Alaska in a single, interactive web application. It allows searches of the map database by geographic area of interest, keywords, publishing agency, dates, and other criteria. The search results link DGGS's comprehensive, multi-agency publications database, where users can view and download publications for free. Map Index provides access to traditional geologic maps and sample location, geologic hazards, and geologic resources maps. In addition, DGGS plans to add outlines and data to the application for new and remaining geologic maps published by DGGS, USGS, U.S. Bureau of Mines, and U.S. Bureau of Land Management. Reports without maps can be accessed through DGGS's comprehensive publications database, .

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Casey Miller (2025). Google Maps Heat Map Analysis for Colorado Springs [Dataset]. https://www.caseysseo.com/google-maps-heat-map-analysis/

Google Maps Heat Map Analysis for Colorado Springs

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pdf, application/xlsxAvailable download formats
Dataset updated
Jul 1, 2025
Dataset provided by
Casey's SEO
Authors
Casey Miller
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Time period covered
2025
Area covered
Old Colorado City, Colorado Springs, Pikes Peak, North Academy, The Broadmoor, El Paso County, Powers Corridor, Colorado Springs
Variables measured
Google Maps Search Intensity, Powers Corridor Cost Savings, North Academy Demographic Profile, The Broadmoor Search Conversion Rate, Old Colorado City Demographic Targeting, Downtown Colorado Springs Mobile Search Growth
Measurement technique
Demographic analysis using U.S. Census and local government sources, Industry benchmarking against regional and national trends, Aggregated and anonymized Google Maps search volume data, Qualitative customer interviews and field observations
Description

Comprehensive geographic search pattern analysis revealing where Colorado Springs customers conduct Google Maps searches, with neighborhood-specific trends and demographic influences across the Pikes Peak region.

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