This specialized park and ride polygon data provides precise information about public transportation access points and commuter parking locations. Urban planners, transportation authorities, and infrastructure researchers can leverage these transit hub location insights to optimize transportation networks, develop strategic plans, and enhance their understanding of urban mobility.

How Do We Create Transit Parking Polygons? -All our park and ride 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 precise boundaries for commuter lots. -Beyond visual data, our expert GIS data engineers integrate venue layout/elevation plans sourced from official transportation websites to construct detailed transit parking polygons. This meticulous process ensures higher accuracy and consistency for transportation infrastructure data. -We verify our park and ride polygons through multiple quality checks, focusing on accuracy, relevance, and completeness for mobility data applications.

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

Unlock the Power of Transportation Infrastructure Data With our robust park and ride polygon datasets and point-of-interest data, you can: -Perform detailed transportation analyses to identify mobility opportunities. -Pinpoint the ideal location for your next transit facility or infrastructure expansion. -Decode commuter behavior patterns using transportation geospatial insights. -Execute targeted, location-driven transportation planning for better connectivity. -Gain an edge in urban planning by leveraging transit geofencing and spatial intelligence.

Why Choose LocationsXYZ? LocationsXYZ is trusted by leading transportation authorities to unlock actionable mobility insights with our spatial data solutions. Join our growing network of successful clients who have scaled their transportation operations with precise park and ride polygon data. Request your free sample today and explore how we can help accelerate your transportation infrastructure planning.

"This expansive dataset offers comprehensive global location data with precise polygon boundaries and worldwide POI coverage. GIS professionals, international researchers, and global businesses can leverage these global geofence insights to conduct advanced geospatial analysis, develop complex mapping strategies, and gain an understanding of international location data dynamics.

Global POI data and Polygon data, representing the exact location of a building, store, or specific place, has become indispensable for businesses making smarter, geography-driven decisions with worldwide location intelligence.

LocationsXYZ, the Points of Interest (POI) and Polygon data product from Xtract.io, offers a comprehensive global dataset of 6 million locations, covering global regions and spanning 11 diverse industries, including: -Retail -Restaurants
-Healthcare -Automotive -Public utilities (e.g., airports, park-and-ride locations) -Shopping malls, and more

Why Choose LocationsXYZ for Global POI Data? At LocationsXYZ, we: -Ensure our global POI data and Polygon data exceeds 95% accuracy -Refresh international location data every 30, 60, or 90 days to maintain relevance -Create on-demand global POI datasets and Polygon datasets tailored to your requirements -Handcraft geofence boundaries for enhanced worldwide location precision -Provide global geospatial data in multiple formats for seamless integration

Unlock Insights with Global Location Intelligence With LocationsXYZ worldwide POI data, you can: -Conduct comprehensive global market analyses -Choose optimal international store locations with confidence -Analyze consumer behavior and footprint data across countries -Execute location-driven marketing campaigns globally -Gain actionable competitive insights with international geofence data

LocationsXYZ has empowered numerous businesses with accurate global geospatial data to unlock valuable insights and drive growth. Join us now and gain access to our robust global polygon database to scale your business success internationally."

Overview

Empower your location data visualizations with our edge-matched polygons, even in difficult geographies.

Our self-hosted geospatial data cover postal divisions for the whole world. The geospatial data shapes are offered in high-precision and visualization resolution and are easily customized on-premise.

Use cases for the Global Boundaries Database (Geospatial data, Map data, Polygon daa)

• In-depth spatial analysis

• Clustering

• Geofencing

• Reverse Geocoding

• Reporting and Business Intelligence (BI)

Product Features

• Coherence and precision at every level

• Edge-matched polygons

• High-precision shapes for spatial analysis

• Fast-loading polygons for reporting and BI

• Multi-language support

For additional insights, you can combine the map data with:

• Population data: Historical and future trends

• UNLOCODE and IATA codes

• Time zones and Daylight Saving Time (DST)

Data export methodology

Our location data packages are offered in variable formats, including - .shp - .gpkg - .kml - .shp - .gpkg - .kml - .geojson

All geospatial data are optimized for seamless integration with popular systems like Esri ArcGIS, Snowflake, QGIS, and more.

Why companies choose our map data

• Precision at every level

• Coverage of difficult geographies

• No gaps, nor overlaps

Note: Custom geospatial data packages are available. Please submit a request via the above contact button for more details.

Find details of Polygon International Technology In Buyer/importer data in US (United States) with product description, price, shipment date, quantity, imported products list, major us ports name, overseas suppliers/exporters name etc. at sear.co.in.

Detailed store location data for new motor vehicle dealerships in US and Canada. Features custom-drawn polygons for precise spatial analysis. Essential for automotive industry research, market penetration studies, and strategic planning.

Comprehensive park and ride polygon data covering transit parking locations across US and Canada. Includes commuter lot geofences, transportation hub boundaries, and public parking polygons. Ideal for transit planning, mobility analysis, and mapping transportation infrastructure.

Building Footprint data based on ‘polygon geofences’ that define the boundaries of buildings. Powerful when combined with POI and foot traffic data.

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.

Comprehensive global POI data and polygon datasets featuring 6M+ worldwide locations across 11 industries. Includes international location data with detailed geospatial coverage and custom geofence insights. Ideal for global market analysis and international expansion across multiple countries.

This dataset surfaces data from the Polygon blockchain and includes tables for blocks, transactions, logs, and more. Polygon is a Layer 2 decentralized, blockchain-based operating system with smart contract functionality, proof-of-stake principles as its consensus algorithm and a cryptocurrency native to the system, known as MATIC. A blockchain is an ever-growing tree of blocks. Each block contains a number of transactions. For more information, see the Blockchain Analytics documentation . This public dataset is hosted in Google BigQuery and is included in BigQuery's 1TB/mo of free tier processing. This means that each user receives 1TB of free BigQuery processing every month, which can be used to run queries on this public dataset. Watch this short video to learn how to get started quickly using BigQuery to access public datasets. What is BigQuery .

Overview

Empower your location data visualizations with our edge-matched polygons, even in difficult geographies.

Our self-hosted GIS data cover administrative and postal divisions with up to 6 precision levels: a zip code layer and up to 5 administrative levels. All levels follow a seamless hierarchical structure with no gaps or overlaps.

The geospatial data shapes are offered in high-precision and visualization resolution and are easily customized on-premise.

Use cases for the Global Boundaries Database (GIS data, Geospatial data)

• In-depth spatial analysis

• Clustering

• Geofencing

• Reverse Geocoding

• Reporting and Business Intelligence (BI)

Product Features

• Coherence and precision at every level

• Edge-matched polygons

• High-precision shapes for spatial analysis

• Fast-loading polygons for reporting and BI

• Multi-language support

For additional insights, you can combine the GIS data with:

• Population data: Historical and future trends

• UNLOCODE and IATA codes

• Time zones and Daylight Saving Time (DST)

Data export methodology

Our geospatial data packages are offered in variable formats, including - .shp - .gpkg - .kml - .shp - .gpkg - .kml - .geojson

All GIS data are optimized for seamless integration with popular systems like Esri ArcGIS, Snowflake, QGIS, and more.

Why companies choose our map data

• Precision at every level

• Coverage of difficult geographies

• No gaps, nor overlaps

Note: Custom geospatial data packages are available. Please submit a request via the above contact button for more details.

Precise polygon data for heliports across the US and Canada. Includes boundaries, center points, and coordinates. Valuable for aviation planning, emergency services analysis, and urban development projects.

TPCC_POLY: Timber Production Capability Class (TPC) shows areas of BLM-managed lands in Western Oregon that are classified according to the physical and biological capability of the site to support and produce forest products. This data was generated from a variety of data sources over a relatively long period of time. Accuracy of the data, relative to related data and current versions of source data, may be highly variable. Site specific questions of scale and accuracy should be directed to the TPC data steward. This data has been edited for public release.

Polygons Master is one of a suite of feature classes (5 in total) contained within Landgate's Tenure-by-Polygon SLIP service and provides a processed "flattened" data structure for cadastral polygons with land tenure type and ownership details. It contains all related parcel identifiers, tenure/ownership information and address data within a unique polygon record. _ NOTE: This product is for information purposes only and is not guaranteed. The information may be out of date and should not be relied upon without further verification from the original documents. Where the information is being used for legal purposes then the original documents must be searched for all legal requirements. Strict access criteria applies, due to sensitivity of information contained in this data service, please contact BusinessSolutions@landgate.wa.gov.au for further information. _

This dataset surfaces data from the Polygon blockchain and includes tables for blocks, transactions, logs, and more. Polygon Technology is Ethereum's Internet of Blockchain. Polygon uses Proof of Stake technology and it is a zero-knowledge technology Polygon is a Layer-2 chain that settles to Ethereum's Layer 1 (L1) chain. Polygon's goal is to offer faster and cheaper transactions on Ethereum by using sidechains, which are stand-alone blockchains that run alongside the Ethereum mainnet For more information, see the Blockchain Analytics documentation . This public dataset is hosted in Google BigQuery and is included in BigQuery's 1TB/mo of free tier processing. This means that each user receives 1TB of free BigQuery processing every month, which can be used to run queries on this public dataset. Watch this short video to learn how to get started quickly using BigQuery to access public datasets. What is BigQuery .

Data are available for download at http://arcticdata.io/data/10.18739/A2KW57K57 Permafrost can be indirectly detected via remote sensing techniques through the presence of ice-wedge polygons, which are a ubiquitous ground surface feature in tundra regions. Ice-wedge polygons form through repeated annual cracking of the ground during cold winter days. In spring, the cracks fill in with snowmelt water, creating ice wedges, which are connected across the landscape in an underground network and that can grow to several meters depth and width. The growing ice wedges push the soil upwards, forming ridges that bound low-centered ice-wedge polygons. If the top of the ice wedge melts, the ground subsides and the ridges become troughs and the ice-wedge polygons become high-centered. Here, a Convolutional Neural Network is used to map the boundaries of individual ice-wedge polygons based on high-resolution commercial satellite imagery obtained from the Polar Geospatial Center. This satellite imagery used for the detection of ice-wedge polygons represent years between 2001 and 2021, so this dataset represents ice-wedge polygons mapped from different years. This dataset does not include a time series (i.e. same area mapped more than once). The shapefiles are masked, reprojected, and processed into GeoPackages with calculated attributes for each ice-wedge polygon such as circumference and width. The GeoPackages are then rasterized with new calculated attributes for ice-wedge polygon coverage such a coverage density. This release represents the region classified as “high ice” by Brown et al. 1997. The dataset is available to explore on the Permafrost Discovery Gateway (PDG), an online platform that aims to make big geospatial permafrost data accessible to enable knowledge-generation by researchers and the public. The PDG project creates various pan-Arctic data products down to the sub-meter and monthly resolution. Access the PDG Imagery Viewer here: https://arcticdata.io/catalog/portals/permafrost Data limitations in use: This data is part of an initial release of the pan-Arctic data product for ice-wedge polygons, and it is expected that there are constraints on its accuracy and completeness. Users are encouraged to provide feedback regarding how they use this data and issues they encounter during post-processing. Please reach out to the dataset contact or a member of the PDG team via support@arcticdata.io.

Our polygon dataset enhances geospatial accuracy by linking over 14.4M U.S. POIs to precise building footprints, enabling better decision-making through polygon-based geofencing and spatial analysis.

Built using satellite imagery, AI, and human validation, this dataset defines accurate location boundaries for retail stores, offices, amenities, and more—ideal for applications needing hyper-local precision.

Key data points include: - Polygon geometry linked to POI - Location name, category, coordinates - Building footprint dimensions - Commercial and amenity POIs across the U.S. - Human-validated and machine-refined accuracy

With national U.S. coverage, this dataset powers use cases in retail site selection, real estate intelligence, foot traffic analysis, and investment modeling.

This feature service captures Ecosystem metrics identified for monitoring the status and changes based on projects & activities occurring in the Systemwide Planning Area (SPA). The EcoMetric_PT (point) service includes Stressors – Fish Passage Barriers. The EcoMetric_Line (line) service includes Natural Bank, SRA Cover, Stressors – Revetment, and Stressors – Levees. The EcoMetric_Poly (polygon) service includes Floodplain Inundation, River Meander Potential, Habitat – Riparian, Habitat – Marsh and Wetlands and Stressors – Invasive Plants. For a detailed description of these metrics, please refer to the Conservation Strategy document linked below in the purpose section.