The NISB Habitat Map was created by the University of Tasmania for a partnership between the Department of Climate Change and the National Land and Water Resources Audit. It supports the DCC/Audit partnership by providing a nationally consistent set of the available mapping data for those habitats that occur between the approximate position of the highest astronomical tide mark (HAT) and the location of the outer limit of the photic benthic zone (approximately at the 50-70 m depth contour). This area is broadly equivalent to the 'inner' and 'mid-shelf' regions identified by Geoscience Australia. The resulting map data set forms a core component of the ECM National Habitat Map Series. The habitat classes include: coral reef, rock dominated habitat, sediment dominated habitat, mangroves, saltmarsh, seagrass, macroalgae and filter feeders (e.g. sponges), as defined in the NISB Habitat Classification Scheme. The scheme is designed to support the development of marine 'ecoregions' or bioregional subregions. Details of the scheme and the process of its development are available in National Intertidal/Subtidal Benthic (NISB) Habitat Classification Scheme Version 1 (Mount, Bricher and Newton, 2007). The NISB Habitat Map consists of two layers for each state. _NISB.shp consists of the entire available habitat mapping at a resolution finer than 1:50 000 (with a few exceptions, outlined in the data quality section below). _NISB_PLUS.shp consists of all the data in _NISB.shp along with coarser resolution data, including NVIS and OzEstuaries data. These layers were used to produce the National ECM Key Habitat Distribution Map Series 10 km and 50 km tile maps.Restricted Restricted Data to be available in the Public Domain under Creative Commons by Attribution Licensing Agreement. More information can be found here: http://creativecommons.org/licenses/by/3.0/au/ Users must attribute the Department as the data provider.

This repository describes and provides downloadable vector files for three different maps produced by Israeli government institutions indicating the location and extent of the “Humanitarian Area” (HA) in Gaza that forms the centerpiece of Israel’s program for citizen protection and humanitarian aid in recent months. Examination shows that the official maps used to guide the Gazans from the areas the IDF calls to evacuate and toward the Humanitarian Area it declares to be their safe destination are inadequate emergency communication measures, ill suited to use of the intended audience, especially in a chaotic low-resource context. Hopefully the materials and comments here might prompt improvements in the spatial communication offered by official parties or, at least, support efforts by individuals and humanitarian organization to supplement these as needed. The first map, in use since May 6, 2024 in various social media released by the Coordinator of Government Activities in the Territories (COGAT), is a low resolution static image showing the HA superimposed on a basemap showing only targeting/evacuation “blocks” from which civilians were instructed to flee to the HA. The second is a contemporaneously released online web map on an Israel Defense Forces (IDF) website pointed to via a QR code sometimes embedded in this static map. The web interface allows panning and some degree of zooming of a map showing the HA and the targeting zone polygons superimposed on a standard OSM vector basemap. The third is a sketch appearing as an appendix in the State’s response to the Israeli High Court of Justice’s June 6, 2024 order nisi requiring that it submit a range of further information necessary for the court to establish the full evidentiary basis for its deliberations after three rounds of hearings on a March 18, 2024 petition against COGAT and the government of Israel by a coalition of six Israeli NGOs. This petition demands that the state improve its humanitarian aid and citizen protection practices in the Gaza Strip in accordance with its obligations under international law, both as a party to the hostilities and as an occupying power. The sketched map in the State response is not really usable as a map, so the analysis offered here is primarily of the usability of the static and interactive maps within the larger context of the targeting and evacuation procedures in use since December 1, 2023. The extent of the HA differs somewhat between these maps, and the format of each has different uses and limits. The static map can easily be saved for offline use and indicates roughly which block numbers are in and outside of the HA and evacuation areas. However, while convenient for army purposes of aggregate characterization of local populations, these blocks are cadastral units with which Gazans are not familiar, while the low resolution and the rotated orientation make the map almost useless for navigation purposes. The interactive web map has the HA precisely defined against a street with the block polygons precisely denoted superimposed on a standard street maps showing main roads and orienting features. However this requires an active internet connection, the HA polygon is not downloadable, and does not allow sufficient zoom levels and standard satellite or other basemap that would allow real navigation, especially in emergency situations. Thus, the official maps used over the last half year to guide the Gazan population from the areas the IDF calls to evacuate are inadequate for emergency communication, as are the newer maps showing the humanitarian area designated as their destination.

These maps provide an overview, at the national scale, of the spatial relationships between principal aquifers and some of the major shale and clay units in England and Wales. The data comprises a series of occurrence maps shows the distribution of rock units that form the principal aquifers and some major shale and clay units in England and Wales. In addition, a series of separation maps show the vertical separation between pairs of shales or clays and overlying aquifers. If shale gas resources are to be developed in the UK, the implications for groundwater will need to be considered as part of any risk assessment. A step in such an assessment will be to understand and quantify the spatial relationships between the potential shale gas source rocks (including both shales and some clay units) and overlying aquifers. The datasets used to produce the aquifer maps, the shale and clay occurrence maps and the separation maps are available to download for your own use. As with other BGS data sets available for download, this will enable you to work offline to develop your own systems and methodologies using BGS data. The data used to produce the aquifer, shale and clay maps are available below as ESRI GIS and KML files.

This web map provides a detailed vector basemap for the world symbolized with the appearance of being hand-drawn by colored pencils. This layer is delivered as a vector tile service that provides unique capabilities for customization, high-resolution display, and offline use in mobile devices. This map is built using the same data sources used for other Esri vector tile layers and web maps. The map includes highways, major roads, minor roads, railways, water features, cities, parks, landmarks, building footprints, trees, and administrative boundaries. Use this MapThis map is designed to be used as a basemap for overlaying other layers of information or as a stand-alone reference map. You can add layers to this web map and save as your own map. If you like, you can add this web map to a custom basemap gallery for others in your organization to use in creating web maps. If you would like to add this map as a layer in other maps you are creating, you may use the Colored Pencil tile layer items referenced in this map. Customize this MapBecause this map includes a vector tile layer, you can customize the map to change its content and symbology. You are able to turn on and off layers, change symbols for layers, switch to alternate local language (in some areas), and refine the treatment of disputed boundaries. For details on how to customize this map, please refer to the Esri Vector Basemap Reference Document (v2) and vector basemap articles on the ArcGIS Online Blog.This map was designed and created by Cindy Prostak.

For more information visit: https://msl.mt.gov/GIS/Hydro or https://msl.mt.gov/GIS/WatershedThis feature service is available for offline use. Data update processes require the Montana State Library to delete replicas created for offline use monthly, which will require users to recreate offline map areas. Users will see an “Update Failed” message when trying to sync to a replica that has been deleted.

This layer shows housing units by year built by tenure (owner or renter). This is shown by tract, county, and state boundaries. This service is updated annually to contain the most currently released American Community Survey (ACS) 5-year data, and contains estimates and margins of error. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis. This layer is modified every few years to change the top-end and bottom-end categories of the years.This layer is symbolized to show the predominant period that housing units were built in. To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right. Current Vintage: 2019-2023ACS Table(s): B25034, B25036, B25035, B25037 (Not all lines of ACS table B25036 are available in this layer.)Data downloaded from: Census Bureau's API for American Community Survey Date of API call: December 12, 2024National Figures: data.census.govThe United States Census Bureau's American Community Survey (ACS):About the SurveyGeography & ACSTechnical DocumentationNews & UpdatesThis ready-to-use layer can be used within ArcGIS Pro, ArcGIS Online, its configurable apps, dashboards, Story Maps, custom apps, and mobile apps. Data can also be exported for offline workflows. For more information about ACS layers, visit the FAQ. Please cite the Census and ACS when using this data.Data Note from the Census:Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in these tables.Data Processing Notes:This layer is updated automatically when the most current vintage of ACS data is released each year, usually in December. The layer always contains the latest available ACS 5-year estimates. It is updated annually within days of the Census Bureau's release schedule. Click here to learn more about ACS data releases.Boundaries come from the US Census TIGER geodatabases, specifically, the National Sub-State Geography Database (named tlgdb_(year)_a_us_substategeo.gdb). Boundaries are updated at the same time as the data updates (annually), and the boundary vintage appropriately matches the data vintage as specified by the Census. These are Census boundaries with water and/or coastlines erased for cartographic and mapping purposes. For census tracts, the water cutouts are derived from a subset of the 2020 Areal Hydrography boundaries offered by TIGER. Water bodies and rivers which are 50 million square meters or larger (mid to large sized water bodies) are erased from the tract level boundaries, as well as additional important features. For state and county boundaries, the water and coastlines are derived from the coastlines of the 2023 500k TIGER Cartographic Boundary Shapefiles. These are erased to more accurately portray the coastlines and Great Lakes. The original AWATER and ALAND fields are still available as attributes within the data table (units are square meters).The States layer contains 52 records - all US states, Washington D.C., and Puerto RicoCensus tracts with no population that occur in areas of water, such as oceans, are removed from this data service (Census Tracts beginning with 99).Percentages and derived counts, and associated margins of error, are calculated values (that can be identified by the "_calc_" stub in the field name), and abide by the specifications defined by the American Community Survey.Field alias names were created based on the Table Shells file available from the American Community Survey Summary File Documentation page.Negative values (e.g., -4444...) have been set to null, with the exception of -5555... which has been set to zero. These negative values exist in the raw API data to indicate the following situations:The margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate.Either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution.The median falls in the lowest interval of an open-ended distribution, or in the upper interval of an open-ended distribution. A statistical test is not appropriate.The estimate is controlled. A statistical test for sampling variability is not appropriate.The data for this geographic area cannot be displayed because the number of sample cases is too small.