Data Model Schema, Feature Attributes, Relationship Classes, Field Domains (Version 2, 2019)

The Martha's Vineyard Commission compiled this web map but all data displayed in this web map are served out directly from MassGIS.Per MassGIS:Core Habitat identifies areas critical for the long-term persistence of rare species, exemplary natural communities, and resilient ecosystems.Critical Natural Landscape identifies large landscapes minimally impacted by development and buffers to core habitats and coastal areas, both of which enhance connectivity and resilience.This is the MassGIS overview of BioMap. Click here for TNC's detailed, deep-dive into BioMap (2022 release).To learn more about the many components within the BioMap Core Habitat and Critical Natural Landscapes please review this story map.The map only shows the parcel data for those towns within Dukes County. For each town, parcel data are updated about once a year by their parcel data consultant. All parcel data comply with the MassGIS Level 3 Parcel Data Standard. By clicking on a parcel on the map, you will see the applicable Fiscal Year of the parcel data in the pop-up.

ArcGIS Technology for Mapping COVID-19 (Esri Training).Communities around the world are taking strides in mitigating the threat that COVID-19 (coronavirus) poses. Geography and location analysis have a crucial role in better understanding this evolving pandemic. This plan will teach you the core ArcGIS technology necessary to understand, prepare for, and respond to COVID-19 in your community or organization.More information about Esri training..._Communities around the world are taking strides in mitigating the threat that COVID-19 (coronavirus) poses. Geography and location analysis have a crucial role in better understanding this evolving pandemic.When you need help quickly, Esri can provide data, software, configurable applications, and technical support for your emergency GIS operations. Use GIS to rapidly access and visualize mission-critical information. Get the information you need quickly, in a way that’s easy to understand, to make better decisions during a crisis.Esri’s Disaster Response Program (DRP) assists with disasters worldwide as part of our corporate citizenship. We support response and relief efforts with GIS technology and expertise.More information...

This file contains the 65 cities and towns in Massachusetts for which MBTA bus or rapid transit service is provided. This data is based off of the 2010 census. The legislative intent for some boundaries could not be mapped. Boundaries where that is true are identified in the attribute information. Name Description Data Type Example town_name Full name for the MA town or city identification. String Boston town_id MassGIS Town-ID Code (alphabetical, 1-351) Numeric 34 sum_acres Area covered by the town or city in acres. Double 31304.22 sum_square Area covered by the town or city in square miles. Double 48.91 Use constraints: This data set, like all other cartographic products may contain inherent aberrations in geography or thematical errors. The boundaries included in this data set were developed using accepted GIS methodology. Cartographic products can never truly represent real-world conditions due to several factors. These factors can include, but are not limited to: human error upon digitizing, computational tolerance of the computer, or the distortion of map symbology. Because of these factors MassGIS cannot be held legally responsible for personal or property damages resulting from any type of use of the data set. These boundaries are suitable for map display and planning purposes. They cannot be used as a substitute for the work of a professional land surveyor.MassDOT/MBTA shall not be held liable for any errors in this data. This includes errors of omission, commission, errors concerning the content of the data, and relative and positional accuracy of the data. This data cannot be construed to be a legal document. Primary sources from which this data was compiled must be consulted for verification of information contained in this data.

The Digital Geomorphic-GIS Map of the South Core Banks Area, North Carolina (1:24,000 scale 2008 mapping) is composed of GIS data layers and GIS tables, and is available in the following GRI-supported GIS data formats: 1.) an ESRI file geodatabase (scbk_geomorphology.gdb), and a 2.) Open Geospatial Consortium (OGC) geopackage. The file geodatabase format is supported with a 1.) ArcGIS Pro 3.X map file (.mapx) file (scbk_geomorphology.mapx) and individual Pro 3.X layer (.lyrx) files (for each GIS data layer). Upon request, the GIS data is also available in ESRI shapefile format. Contact Stephanie O'Meara (see contact information below) to acquire the GIS data in these GIS data formats. In addition to the GIS data and supporting GIS files, three additional files comprise a GRI digital geologic-GIS dataset or map: 1.) a readme file (calo_geology_gis_readme.pdf), 2.) the GRI ancillary map information document (.pdf) file (calo_geomorphology.pdf) which contains geologic unit descriptions, as well as other ancillary map information and graphics from the source map(s) used by the GRI in the production of the GRI digital geologic-GIS data for the park, and 3.) a user-friendly FAQ PDF version of the metadata (scbk_geomorphology_metadata_faq.pdf). Please read the calo_geology_gis_readme.pdf for information pertaining to the proper extraction of the GIS data and other map files. QGIS software is available for free at: https://www.qgis.org/en/site/. The data were completed as a component of the Geologic Resources Inventory (GRI) program, a National Park Service (NPS) Inventory and Monitoring (I&M) Division funded program that is administered by the NPS Geologic Resources Division (GRD). For a complete listing of GRI products visit the GRI publications webpage: https://www.nps.gov/subjects/geology/geologic-resources-inventory-products.htm. For more information about the Geologic Resources Inventory Program visit the GRI webpage: https://www.nps.gov/subjects/geology/gri.htm. At the bottom of that webpage is a "Contact Us" link if you need additional information. You may also directly contact the program coordinator, Jason Kenworthy (jason_kenworthy@nps.gov). Source geologic maps and data used to complete this GRI digital dataset were provided by the following: North Carolina Geological Survey. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation section(s) of this metadata record (scbk_geomorphology_metadata.txt or scbk_geomorphology_metadata_faq.pdf). Users of this data are cautioned about the locational accuracy of features within this dataset. Based on the source map scale of 1:24,000 and United States National Map Accuracy Standards features are within (horizontally) 12.2 meters or 40 feet of their actual location as presented by this dataset. Users of this data should thus not assume the location of features is exactly where they are portrayed in ArcGIS Pro, QGIS or other software used to display this dataset. All GIS and ancillary tables were produced as per the NPS GRI Geology-GIS Geodatabase Data Model v. 2.3. (available at: https://www.nps.gov/articles/gri-geodatabase-model.htm).

This packaged data collection contains additional "small" habitat cores that had a minimum size of 1 female marten home range (300ha), but were too small to meet the minimum size threshold of 5 female home ranges (1500ha) used to define cores in the Primary Model. This package includes the following data layers: Habitat Cores Greater Than 300ha (i.e. small cores and cores from primary model) Habitat Cores 300ha-1500ha (small cores only) Please refer to the embedded spatial metadata and the information in our full report for details on the development of these data layers. Packaged data are available in two formats: Geodatabase (.gdb): A related set of file geodatabase rasters and feature classes, packaged in an ESRI file geodatabase. ArcGIS Pro Map Package (.mpkx): The same data included in the geodatabase, presented as fully-symbolized layers in a map. Note that you must have ArcGIS Pro version 2.0 or greater to view. See Cross-References for links to individual datasets, which can be downloaded in shapefile (.shp) format.

The aquatic core networks is one of a suite of products from the Nature’s Network project. These datasets represent the aquatic core networks, which include lotic and lentic core areas and aquatic buffers. NOTE - The aquatic buffers dataset has been converted to integers and only contain values of 90 -100 (0.9 - 1) for online purposes, the original dataset is included in the download and contains all values. All datasets in this map are included in the download. The aquatic core networks represents intact, well-connected stream reaches, lakes, and ponds in the Northeast and Mid-Atlantic region that, if protected as part of stream networks and watersheds, will continue to support a broad diversity of aquatic species and the ecosystems on which they depend. The cores include especially intact, resilient examples of each major aquatic ecological system across the region along with habitat for priority aquatic species. The core network offers guidance for conserving aquatic biodiversity and ecological function into the future by providing tools to help identify, prioritize, protect, and effectively manage the full range of aquatic systems in the region along with representative and priority fish and wildlife species. The aquatic core networks are comprised of three datasets: lotic (river and stream) cores, lentic (lake and pond) cores, and the aquatic buffers. The lotic cores and lentic cores represent the most intact examples of each aquatic habitat class based on UMass’ Index of Ecological Integrity (IEI). IEI assesses 21 stream classes based on gradient, temperature, and size (lotic) and 12 lake/pond classes based on temperature, depth, and trophic class (lentic). The cores also represent habitat for representative priority aquatic species using a range of these habitat types across the region. These include headwater streams with the highest probability of occurrence for Eastern brook trout, and known rivers and streams supporting Atlantic and shortnose sturgeon, salter brook trout, the highest priority watersheds for alewife, American shad, and blueback herring, and priority rearing habitat for Atlantic salmon in the Gulf of Maine watershed. Lentic cores also include lakes and ponds with the highest habitat suitability for common loon. Aquatic buffers surround the aquatic (both lotic and lentic) cores. Buffers represent the areas estimated to have a strong influence on the integrity of the aquatic cores based on watershed processes. They include the areas that are hydrologically connected to the cores, based on the idea that human actions (such as development or pollution) within the buffer area may impact the integrity of the aquatic cores. As a result, the land underlying the buffers is not necessarily of high ecological integrity. Intended Uses Determine where to start protection and management for a range of intact aquatic systemsIdentify areas and networks of high ecological valuePinpoint important areas for aquatic core buffersRestore connectivity to otherwise intact areas The aquatic core and buffer network can serve as a starting point for a regional conservation network that can be used in combination with other sources of information to direct action. Suggestions include: Lotic and lentic cores can serve as a starting point for a regional conservation network that can be used in combination with other sources of information to direct action. Suggestions include:Use in combination with other data layers to identify additional areas of high ecological value. Layers to consider include: 1) the terrestrial core-connector network, 2) The Nature Conservancy’s (TNC) Freshwater Resilience Networks, 3) the aquatic Index of Ecological Integrity, 4) habitat maps for Common Loon and important fish species (brook trout, Atlantic salmon, and other anadromous species), and 5) habitat condition for imperiled species.Use in conjunction with aquatic connectivity restoration priorities to identify areas where restoring connectivity will add value to areas that are already intact.Use in combination with the secured lands layer to identify aquatic core areas and buffers that remain unsecured from development, and thus could represent priorities for protection.Use in combination with the probability of development layer and regional vulnerability layers to identify places in the aquatic core area network that are relatively vulnerable to future development, and thus could represent priorities for protection.Identify overlap between this network and resource priorities identified at the state or local level, but that are not available across the entire region (e.g., from State Wildlife Action Plans, towns, and land trusts), to further rank areas for protection. Description and Derivation The aquatic core network is based on a set of regional analyses that assess the physical and biological value of aquatic systems and species across the Northeast region. The core area network integrate five componentsThe most integral locations of each of 21 stream habitat classes and 12 lake/pond habitat classes in HUC 6 watersheds across the Northeast. Ecological systems were mapped by the Nature Conservancy working with the Northeast state fish and wildlife agencies and the North Atlantic LCC. Their integrity has been assessed using the Index of Ecological Integrity developed by the University of Massachusetts Amherst with the North Atlantic LCC.Lotic core areas representing the highest probability of occurrence for Eastern brook trout (rep. species for cold headwater streams) not captured by lotic ecosystem cores.Lentic cores representing the highest landscape capability for common loon (representative species for intact lakes and ponds) not captured by lentic ecosystem core.Stream reaches with a) existing occurrences for Atlantic and shortnose sturgeon, and salter brook trout, b) the top 5% of watersheds for alewife, American shad and blueback herring (data from Trout Unlimited) and c) priority rearing habitat for Atlantic salmon in the Gulf of Maine (from U.S. Fish and Wildlife Service), where not already captured in cores.Aquatic core area buffers based on areas in the upstream watershed most likely to influence the core areas. This version of aquatic core areas is based on stratifying the ecosystem input, the Aquatic Index of Ecological Integrity, by large watershed (HUC 6 level). This ensures that core areas are well-distributed across the landscape. However, in this stratified version, the core areas do not comprise 30% of each watershed. Once the core "seeds" were determined, the entire corresponding lake or pond was deemed a lentic core, and the lotic cores were grown out giving priority to long continuous high-quality areas, rather than alligning with watershed boundaries. This stratification also means that some of the highest quality examples of ecosystems and habitats from a regional perspective are not included in core areas, where their inclusion would otherwise result in more than 30% of the aquascape in the region. A complementary version of aquatic core areas that is not stratified by watershed is also available as part of the Nature’s Network package. These core areas and buffers are intended to be overlain with additional analyses including Freshwater Resilience Highest and High watersheds developed by The Nature Conservancy and the version of regionally scaled, unstratified aquatic core areas. Attribute Information and Field DefinitionsLotic Cores:FID = ESRI assigned unique number (which we do not use) for each polylineShape = ESRI assigned feature geometry, type = "polyline"coreID = unique number (ID) assigned to the corelengthKm = stream length (km) of the core. The length of the lotic core is approximated by the number of 30 m centerline cells. In addition, lotic cores can include centerlines through contiguous wetlands as well as contiguous lentic cores; thus, length of the lotic core represents the approximate length of contiguous lotic (including through wetlands) and lentic coressystem1, system2, system3 = list of the top three lotic ecological systems for which the core is particularly important; specifically, systems for which the cumulative ecological integrity of the system within the core is greater than expected (from a statistical perspective) given its distribution across the entire core area network. Note, the lotic systems listed here are not necessarily the most abundant systems in the core, but rather reflect the systems for which the core is especially importanttroutSum = sum of the brook trout probability of occurrence index in the coretroutMean = mean of the brook trout probability of occurrence index in the coresalmonSum = total number of cells in the core comprised of the top 10% of Atlantic salmon rearing habitatsalmonMean = percentage of the core comprised of the top 10% of Atlantic salmon rearing habitatanadSum = total number of cells in the core comprised of the designated anadromous fish habitat, including all sturgeon and salter brook trout rivers and streams, and the top 5% HUC12 watersheds for the three Alosid speciesanadMean = percentage of the core comprised of the designated anadromous fish habitatecoURL = contains links to the Ecosystem tables for each core area. Ecosystem tables contain a complete listing of all aquatic systems present in the core (including wetland and lentic systems), along with their relative abundance Lentic Cores:FID = ESRI assigned unique number (which we do not use) for each polygonShape = ESRI assigned feature geometry, type = "polygon"coreID = unique number (ID) assigned to the coreareaHA = area of the core in hectaresSystem = The ecosystem type of the coreloonSum = sum of the loon landscape capability index in the coreloonMean = mean of the loon landscape capability index in the coreecoURL = contains links to the Ecosystem tables for each core area. Ecosystem

The way to access Layers Quickly.

Quick Layers is an Add-In for ArcMap 10.6+ that allows rapid access to the DNR's Geospatial Data Resource Site (GDRS). The GDRS is a data structure that serves core geospatial dataset and applications for not only DNR, but many state agencies, and supports the Minnesota Geospatial Commons. Data added from Quick Layers is pre-symbolized, helping to standardize visualization and map production. Current version: 1.164

To use Quick Layers with the GDRS, there's no need to download QuickLayers from this location. Instead, download a full copy or a custom subset of the public GDRS (including Quick Layers) using GDRS Manager.

Quick Layers also allows users to save and share their own pre-symbolized layers, thus increasing efficiency and consistency across the enterprise.

Installation:

After using GDRS Manager to create a GDRS, including Quick Layers, add the path to the Quick Layers addin to the list of shared folders:
1. Open ArcMap
2. Customize -> Add-In Manager… -> Options
3. Click add folder, and enter the location of the Quick Layers app. For example, if your GDRS is mapped to the V drive, the path would be V:\gdrs\apps\pub\us_mn_state_dnr\quick_layers
4. After you do this, the Quick Layers toolbar will be available. To add it, go to Customize -> Toolbars and select DNR Quick Layers 10

The link below is only for those who are using Quick Layers without a GDRS. To get the most functionality out of Quick Layers, don't install it separately, but instead download it as part of a GDRS build using GDRS Manager.

This layer shows the Core Centres for the DHC Express in Hong Kong. It is a subset of the data made available by the Health Bureau under the Government of Hong Kong Special Administrative Region (the “Government”) at https://DATA.GOV.HK/ (“DATA.GOV.HK”). The source data is in JSON format and has been processed and converted into Esri File Geodatabase format and then uploaded to Esri’s ArcGIS Online platform for sharing and reference purpose. The objectives are to facilitate our Hong Kong ArcGIS Online users to use the data in a spatial ready format and save their data conversion effort. For details about the data, source format and terms of conditions of usage, please refer to the website of DATA.GOV.HK at https://data.gov.hk.

These data were created as part of Esri’s Green Infrastructure Initiative and include five newly generated companion datasets that can be used for Green Infrastructure (GI) planning at national, regional, and more local scales. If used together, these layers should have corresponding date-based suffixes (YYYYMMDD). The corresponding layer names are: Intact Habitat Cores, Habitat Connectors, Habitat Fragments, Habitat Cost Surface, and Intact Habitat Cores by Betweeness. These Esri derived data, and additional data central to GI planning from other authoritative sources, are also available as Map Packages for each U.S. State and can be downloaded from the Green Infrastructure Data Gallery.

Link to landing page referenced by identifier. Service Protocol: Link to landing page referenced by identifier. Link Function: information-- dc:identifier.

Link to landing page referenced by identifier. Service Protocol: Link to landing page referenced by identifier. Link Function: information-- dc:identifier.

CDFW BIOS GIS Dataset, Contact: Emily Perkins, Description: This dataset was created for analytical purposes to assist in testing preserve design and levels of species conservation. The habitat linkages are linkages between the core resource areas. Core areas are defined in the MSCP plan as areas generally supporting a high concentration of sensitive biological resources which, if lost or fragmented, could not be replaced or mitigated elsewhere. Biological core areas identified in 1997 by the San Diego Multiple Species Conservation Program (MSCP).

The Core Based Statistical Areas boundaries were defined by OMB based on the 2010 Census, and the dataset was updated on August 09, 2019 from the United States Census Bureau (USCB) and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics (BTS) National Transportation Atlas Database (NTAD). The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. Metropolitan and Micropolitan Statistical Areas are together termed Core Based Statistical Areas (CBSAs) and are defined by the Office of Management and Budget (OMB) and consist of the county or counties or equivalent entities associated with at least one urban core (urbanized area or urban cluster) of at least 10,000 population, plus adjacent counties having a high degree of social and economic integration with the core as measured through commuting ties with the counties containing the core. Categories of CBSAs are: Metropolitan Statistical Areas, based on urbanized areas of 50,000 or more population; and Micropolitan Statistical Areas, based on urban clusters of at least 10,000 population but less than 50,000 population. The CBSA boundaries are those defined by OMB based on the 2010 Census, published in 2013, and updated in 2018.

This data package contains the point locations for the core research plots maintained by the Bonanza Creek LTER program. Geospatial_Data_Presentation_Form: vector digital data.

Digital technology innovation is the core driving force for the high-quality development of the digital economy, and in-depth exploration of the regional distribution pattern and formation mechanism of digital technology innovation in China is conducive to the rational layout and coordinated development of the inter-provincial digital economy. Based on the Reference Relationship Table of the Classification of Core Industries of Digital Economy and the International Patent Classification (2023), the patent authorization data of digital technology from 2012 to 2022 were obtained, and the spatiotemporal situation of China’s digital technology innovation was analyzed by using ArcGIS software, Dagum’s Gini coefficient, and Moran’s I index, and the spatial Dubin panel model was used to explore the influencing factors of digital technology innovation. It is found that: (1) the scale and vitality of China’s digital technology innovation have increased significantly, and there are obvious spatial differentiation characteristics, and the innovation level of "eastern coastal—central and western interior" is decreasing, forming a cluster distribution pattern in the Yangtze River Delta region, Beijing, Guangdong, and other places, and the degree of agglomeration is decreasing. (2) The overall regional differences in China’s digital technology innovation are large, the differences between the East and the West dominate the interregional differences, and the net differences between regions are the main factors leading to regional differences. (3) There is a significant positive spatial correlation between the scale and vitality of digital technology innovation, which has a significant spatial spillover effect. (4) The results confirm that the level of economic development, digital access, financial scientific and technological support, technology market development level, and R&D intensity have a significant positive impact on the scale and vitality of digital technology innovation; The investment in scientific and technological talents has a significant positive impact on the scale of digital technology innovation, but has no significant impact on the vitality of digital technology innovation.

City of Riverside Open Data for use in the city.

This map shows the point locations of the mineral core sites in Maine that are housed at the Maine Geological Survey Core Repository.

This App Gallery contains a collection web apps created as part of Esri's Green Infrastructure Infrastructure Initiative. They can be used to explore, investigate, and analyze landscapes and support GI planning workflows and engage stakeholders.The apps Include:Intact Habitat Near Me:Explore your Community’s Potential for Green Infrastructure. View the remaining intact habitat near you, and other measures of natural and man-made assets that connect us.Land cover Change App:This application compares changes between aggregated 2011 National Land Cover Database land cover categories with similarly aggregated land cover categories from The Clark Labs 2050 Conterminous US Land Cover Prediction.Select Your Intact Landscape Cores App:Explore and filter a national database if Intact Landscape Cores to identify areas most relevant to your organization, local area, or region.Prioritize Your Intact Landscape Cores App:Rank and score your Intact Landscape Cores by weighting relevant landscape characteristics of importance to you.Investigate Core Weighting:Experiment with weighting landscape characteristics that contribute to the ranking of Intact Landscape Cores.Conduct Landscape Analysis App:Identify and evaluate areas that exhibit landscape characteristics you are interested in protecting.

The types, locations, and density of information used to prepare the Lake County atlas are shown on this map. The Database Map serves as a guide to the precision of the other maps in the atlas. It shows where data are sparse or lacking and interpretation and extrapolation were required to prepare the maps.