GapMaps Live is an easy-to-use location intelligence platform available across 25 countries globally that allows you to visualise your own store data, combined with the latest demographic, economic and population movement intel right down to the micro level so you can make faster, smarter and surer decisions when planning your network growth strategy.

With one single login, you can access the latest estimates on resident and worker populations, census metrics (eg. age, income, ethnicity), consuming class, retail spend insights and point-of-interest data across a range of categories including fast food, cafe, fitness, supermarket/grocery and more.

Some of the world's biggest brands including McDonalds, Subway, Burger King, Anytime Fitness and Dominos use GapMaps Live Map Data as a vital strategic tool where business success relies on up-to-date, easy to understand, location intel that can power business case validation and drive rapid decision making.

Primary Use Cases for GapMaps Live Map Data include:

1. Retail Site Selection - Identify optimal locations for future expansion and benchmark performance across existing locations.
2. Customer Profiling: get a detailed understanding of the demographic profile of your customers and where to find more of them.
3. Analyse your catchment areas at a granular grid levels using all the key metrics
4. Target Marketing: Develop effective marketing strategies to acquire more customers.
5. Marketing / Advertising (Billboards/OOH, Marketing Agencies, Indoor Screens)
6. Customer Profiling
7. Target Marketing
8. Market Share Analysis

Some of features our clients love about GapMaps Live Map Data include: - View business locations, competitor locations, demographic, economic and social data around your business or selected location - Understand consumer visitation patterns (“where from” and “where to”), frequency of visits, dwell time of visits, profiles of consumers and much more. - Save searched locations and drop pins - Turn on/off all location listings by category - View and filter data by metadata tags, for example hours of operation, contact details, services provided - Combine public data in GapMaps with views of private data Layers - View data in layers to understand impact of different data Sources - Share maps with teams - Generate demographic reports and comparative analyses on different locations based on drive time, walk time or radius. - Access multiple countries and brands with a single logon - Access multiple brands under a parent login - Capture field data such as photos, notes and documents using GapMaps Connect and integrate with GapMaps Live to get detailed insights on existing and proposed store locations.

This dataset contains the approximate location of 59 wetlands that were monitored as part of the U.S. Geological Survey (USGS) Amphibian Research and Monitoring Initiative (ARMI). Note, these were preliminary points used for locating the wetlands in the field and they may not fall directly within a wetlands boundary. The later surveying of pond boundaries provides more accurate locations. These point locations were collected with a Garmin GPSmap62 unit. The mention of firm, product, or trade names is done so for informative purposes only and does not constitute and recommendation or endorsement by the federal government.

SARTOPO Link: https://sartopo.com/group/D35RDU/signup/HML77T2G4BL8If you already have a SARTOPO/CALTOPO loginOpen Sartopo Application and choose the dropdown menu in the top left hand corner.Choose “scan QR Code” and scan the QR code for the event.After joining, the team event should show up under the drop down menu in the upper left hand corner with the 3 lines.Choose the team event and then choose the map listed under the event on the listing of maps.Choose the button with 4 dots in the lower right hand corner and then choose “Share Location”.Enter your name and then choose the event name to share your location with.Hit the “Start Sharing” button to share your location.If you do not already have a SARTOPO/CALTOPO loginOpen the Sartopo application and press the QR symbol in the upper right hand corner of the screen.Scan the QR code for the event.Place your name under the “name or identifier” box and click the “terms of use” button as well as the “Privacy Policy” button, then choose “submit”.Press the “Join Team” button.Open the menu in the upper left hand menu with the 3 lines.Choose the event name and open the event map listed.Choose the button with 4 dots in the lower right hand corner and then choose “Share Location”.Enter your name and then choose the event name to share your location with.Hit the “Start Sharing” button to share your location.

In 2021, around ** percent of suicides among females in the United States were committed in a home or apartment. This statistic depicts the distribution of U.S. suicides committed in select locations in 2021, by gender.

Multibeam backscatter imagery extracted from gridded bathymetry for selected U.S. locations in the Pacific. The backscatter datasets include data collected using the RESON 8101ER multibeam sonar, Kongsberg 300 kHz EM3002D multibeam sonar, and a Kongsberg 30 kHz EM300 multibeam sonar. Data are available in GeoTIFF and NetCDF format as well as composite maps (jpg or PDF) which show all available...

These data are depth contours (isobaths) derived at 50 meters for most islands and reefs in the Mariana Archipelago, American Samoa, and the Pacific Remote Island Areas. Contours at 10- or 20-meter depths have also been derived for a subset of the same locations. These contours are derived from bathymetry sources including multibeam data collected by Coral Reef Ecosystem Program (CREP) at the NOAA Pacific Islands Fisheries Science Center (PIFSC) since 2003, NOAA nautical charts, estimated depths derived from satellite images, and other sources of bathymetry collected by various agencies and entities.

This statistic shows the share of consumers that purchased liquor from select retailers or outlets as of 2018. As of 2018, 20 percent of liquor consumers made purchases at Walmart stores. Comparatively, 16 percent of consumers made liquor purchases at Costco.

This specialized location dataset delivers detailed information about marina establishments. Maritime industry professionals, coastal planners, and tourism researchers can leverage precise location insights to understand maritime infrastructure, analyze recreational boating landscapes, and develop targeted strategies.

How Do We Create Polygons? -All our polygons are manually crafted using advanced GIS tools like QGIS, ArcGIS, and similar applications. This involves leveraging aerial imagery and street-level views to ensure precision. -Beyond visual data, our expert GIS data engineers integrate venue layout/elevation plans sourced from official company websites to construct detailed indoor polygons. This meticulous process ensures higher accuracy and consistency. -We verify our polygons through multiple quality checks, focusing on accuracy, relevance, and completeness.

What's More? -Custom Polygon Creation: Our team can build polygons for any location or category based on your specific requirements. Whether it’s a new retail chain, transportation hub, or niche point of interest, we’ve got you covered. -Enhanced Customization: In addition to polygons, we capture critical details such as entry and exit points, parking areas, and adjacent pathways, adding greater context to your geospatial data. -Flexible Data Delivery Formats: We provide datasets in industry-standard formats like WKT, GeoJSON, Shapefile, and GDB, making them compatible with various systems and tools. -Regular Data Updates: Stay ahead with our customizable refresh schedules, ensuring your polygon data is always up-to-date for evolving business needs.

Unlock the Power of POI and Geospatial Data With our robust polygon datasets and point-of-interest data, you can: -Perform detailed market analyses to identify growth opportunities. -Pinpoint the ideal location for your next store or business expansion. -Decode consumer behavior patterns using geospatial insights. -Execute targeted, location-driven marketing campaigns for better ROI. -Gain an edge over competitors by leveraging geofencing and spatial intelligence.

Why Choose LocationsXYZ? LocationsXYZ is trusted by leading brands to unlock actionable business insights with our spatial data solutions. Join our growing network of successful clients who have scaled their operations with precise polygon and POI data. Request your free sample today and explore how we can help accelerate your business growth.

Provides details on the sites selected for each study, including various attributes to allow for comparison across sites. ------------------------------------------ The City of Seattle Department of Transportation (SDOT) is providing data from the public life studies it has conducted since 2017. These studies consist of measuring the number of people using public space and the types of activities present on select sidewalks across the city, as well as several parks and plazas. The data set is continually updated as SDOT and other parties conduct public life studies using Gehl Institute’s Public Life Data Protocol. This dataset consists of four component spreadsheets and a GeoJSON file, which provide public life data as well as information about the study design and study locations: 1 Public Life Study: provides details on the different studies that have been conducted, including project information. https://data.seattle.gov/Transportation/Public-Life-Data-Study/7qru-sdcp 2 Public Life Location: provides details on the sites selected for each study, including various attributes to allow for comparison across sites. 3 Public Life People Moving: provides data on people moving through space, including total number observed, gender breakdown, group size, and age groups. https://data.seattle.gov/Transportation/Public-Life-Data-People-Moving/7rx6-5pgd 4 Public Life People Staying: provides data on people staying still in the space, including total number observed, demographic data, group size, postures, and activities. https://data.seattle.gov/Transportation/Public-Life-Data-People-Staying/5mzj-4rtf 5 Public Life Geography: A GeoJSON file with polygons of every location studied. https://data.seattle.gov/Transportation/Public-Life-Data-Geography/v4q3-5hvp Please download and refer to the Public Life metadata document - in the attachment section below - for comprehensive information about all of the Public Life datasets.

Scouring of streambed material surrounding bridge structures is a leading cause of bridge failure in the United States. Damages resulting from bridge failure oftentimes lead to financial burdens and loss of life. To date, there has been no comprehensive evaluation of the current (2016) effectiveness of the guidance or overall long-term performance of bridge-scour countermeasures provided in the Federal Highway Administration (FHWA), Hydraulic Engineering Circular No. 23, Bridge Scour and Stream Instability Countermeasures. To that end, the U.S. Geological Survey (USGS), in cooperation with the Federal Highway Administration, obtained bathymetric, topographical, and other data at 20 sites across the United States to begin an evaluation of the effectiveness of bridge-scour countermeasures. This data release contains the supplemental bathymetric and topographic data for Dudunake and others (2018).

GapMaps Point of Interest (POI) Data for Australia includes the most up-to-date view of store openings and closures for over 1500 leading retail brands across 81 categories including fast food, cafe, fitness, supermarket/grocery plus many more. Detailed attributes provided for Point of Interest (POI) Data include:

• Category
• Business Name
• Postal code
• Latitude and longitude
• Street address, city, and state
• Location Status (open or closed)
• Location Updated Date
• Location Validated Date

Point of Interest (POI) data for brands across Fast Food, Cafe, Fitness, Supermarket/Grocery sectors are updated monthly.

Point of Interest (POI) Dataset can be supplied as CSV file or API

Pick 'n Save is a Wisconsin-based grocery chain owned by Kroger that aims to provide a balance of value and variety. Pick 'n Save’s business model centers around offering competitive pricing on a wide selection of groceries, including fresh produce, meat, and local products, while also providing a full-service shopping experience with features like delis and sometimes pharmacies. You can download the complete list of key information about Pick 'n Save locations, contact details, services offered, and geographical coordinates, beneficial for various applications like store locators, business analysis, and targeted marketing. The Pick 'n Save data you can download includes:

Identification & Location:


  Store_name, store_type, store_name, address, city, state, zip_code, latitude, longitude, geo_accuracy, country_code, county,  


Contact Information:


  Phone_number, pharmacy_phone_number, website_address,


Operational Details & Services:


  Store_hours, pharmacy_hours,

Abstract

This dataset is derived from GA TOPO 250K Series 3 features clipped to the BA_SYD and environs extent for the purpose of providing geographic context in BA_SYD report map images. The source datasets are identified in the Lineage field in this metadata statement. The processes undertaken to produce this derived dataset are described in the History field in this metadata statement.

Selected features currently include:

Lakes

PlaceNames*

PopulatedPlaces

Railways

Roads

WatercourseLines

additional features may be included as required (relevant feature classes asterisked).

Currently the only addition has been to PlaceNames with the addition of Census Spring (see Lineage).

Purpose

providing geographic context in BA_SYD report map images.

Dataset History

A rectangular mask polygon feature was manually drawn around the BA_SYD (ie NSB+SSB) boundary extending approximately 100km beyond the BA_SYD extent. This mask is included in the dataset (SYD_clip).

Selected features from the national GEODATA TOPO 250K series 3 were overlaid with the mask and intersecting features extracted.

Extracted feature classes have the same names as the source features.

The additional feature of "Census Spring" was added to place names. It's approximate location was sourced from

Fig 4, p172 of the document :

Duralie Coal (2013) Duralie Coal Mine - Water Management Plan (Document No. WAMP-R02-D) Appendix 3 - Groundwater Management Plan . September 2013 Document No. GWMP-R02-C (00519574) . Fig4 pp13

http://www.gloucestercoal.com.au/documents/community_environment/duralie/Duralie_Coal_Mine_Water_Management_Plan.pdf

Dataset Citation

Bioregional Assessment Programme (2014) BA SYD selected GA TOPO 250K data plus added map features. Bioregional Assessment Derived Dataset. Viewed 13 March 2019, http://data.bioregionalassessments.gov.au/dataset/ba5feac2-b35a-4611-82da-5b6213777069.

Dataset Ancestors

• Derived From GEODATA TOPO 250K Series 3

The main variables for this Location dataset are: - Pedestrian influx - Vehicle flow - Resident population - Income level - Business concentration.

Also, the model is enriched with information on the population interested in a specific topic (Like retail store location data), measured from the interaction of users in social networks (Consumer behavior data).

All the variables evaluated in the model are at the spatial grid level, to which it is possible to add existing points of sale and their respective revenue. This additional information makes it possible to estimate the billing of an additional Point of Sale in the best areas identified to locate a specific type of business.

Why should you trust PREDIK Data-Driven? In 2023, we were listed as Datarade's top providers. Why? Our solutions for location data, consumer behavior data, and store location data adapt according to the specific needs of companies. Also, PREDIK methodology focuses on the client and the necessary elements for the success of their projects.

These data are measurements of sediment depth in the downstream approach channel of Brandon Rd Lock and Dam at Joliet, Illinois, on February 13-14, 2017. Data collection software recorded and stored the horizontal position of the vessel and the measured sediment depth. Data processing required computer software to extract position data from the target data files and to summarize and map the information.

Report of the number of clients connected to public wifi locations in San Mateo County. Data includes the amount of data sent and received by each user connected to the network. This data contains reports for 3 public wifi locations: Coastside Hope, Lan Honda Puente Center, and Lincoln Community Center. Public wifi usage data for other sites in San Mateo County can be found here: https://data.smcgov.org/Government/Public-Wifi-Use-Over-Time/dsfi-fpdz

This statistic shows the share of consumers that purchased wine from select retailers or outlets as of 2018. As of 2018, 29 percent of wine consumers purchased wine from Walmart. Comparatively, just 7 percent of consumers purchased wine from CVS stores at that time.

SafeGraph Places provides baseline information for every record in the SafeGraph product suite via the Places schema and polygon information when applicable via the Geometry schema. The current scope of a place is defined as any location humans can visit with the exception of single-family homes. This definition encompasses a diverse set of places ranging from restaurants, grocery stores, and malls; to parks, hospitals, museums, offices, and industrial parks. Premium sets of Places include apartment buildings, Parking Lots, and Point POIs (such as ATMs or transit stations).

SafeGraph Places is a point of interest (POI) data offering with varying location data coverage depending on the country. Note that address conventions and formatting vary across countries. SafeGraph has coalesced these fields into the Places schema.

SafeGraph provides clean and accurate geospatial datasets on 51M+ physical places/points of interest (POI) globally. Hundreds of industry leaders like Mapbox, Verizon, Clear Channel, and Esri already rely on SafeGraph POI data to unlock business insights and drive innovation.

In a survey conducted in 2019 in the Asia Pacific region, regarding the important factors taken into consideration while selecting a university degree, 38 percent of the respondents from Beijing stated that the university location was one of the most important factors in choosing a university degree. Comparatively, 22 percent of respondents from Kuala Lumpur stated the university location was one of their most important factors when it came to choosing a university degree in 2019.

Welcome to the City of St. Augustine's interactive Utility Service Area web map application. You can search for the property you are interested in by typing in the address in the location query or manually by zooming into your area of interest. Parcels are viewable when searching for an address or by zooming into the street level. You can change the underlying basemap using the basemap tab below the location query. There is a measurement tab located below the location query. This web map application has print capability as well. By selecting the print icon below the location query, you can select the desired format as well, i.e. jpeg, pdf, ect. You can give the document a name by selecting the "advanced options" button. Select "print" and the app will produce the map in the given layout and format.