Spatial representation of DOC's land management units defined by various acts of parliament and legislation. The attributes in this dataset are derived from the National Property and Land Information System (NaPALIS), which is a centralised database for all Land Information New Zealand (LINZ) and Department of Conservation (DOC) administered land. Public Conservation Land (abbreviated to PCL) parcels are defined geographically, recognised, dedicated and managed, through legal or other effective means, to achieve the long term conservation of nature with associated ecosystem services and cultural values.New Zealand's Public Conservation Land is managed under four main laws.Conservation Act 1987National Parks Act 1980Reserves Act 1977Wildlife Act 1953These manifest in numerous different types of protected area, the most important of which are:National ParksConservation ParksNature ReservesScientific ReservesScenic ReservesRecreation (and other) ReservesN.B. Combining Public Conservation Land, with Marine Reserves and Sanctuaries to Protect Marine Mammals is collectively known as Public Conservation Areas (PCA).*****LICENCE*****This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this license, visit https://creativecommons.org/licenses/by/4.0/ or send a letter to Creative Commons, 444 Castro Street, Suite 900, Mountain View, California, 94041, USA.*****DISCLAIMER***** 1. DOC makes no express or implied warranties as to the accuracy or completeness of the data or information, nor its suitability for any purpose. Errors are inevitably part of any database, and can arise by a number of means, from errors during field data collection, to errors during data entry. 2. DOC makes no warranties or representations as to possible infringement upon copyrights or other intellectual property rights of others in the data or information. 3. DOC will not accept liability for any direct, indirect, special or consequential damages, losses or expenses howsoever arising and relating to use, or lack of use, of the data or information supplied.*****GUIDELINES FOR THE USE OF THE INFORMATION***** 4. Care should be taken in deriving conclusions from any data or information supplied. 5. Any use of the data or information supplied should state when the data or information was acquired and that it may now be out-of-date.*****COPYRIGHT OBLIGATIONS***** 6. All proprietary rights to the intellectual property in the data or information remain with the Crown as its sole property. 7. Modification of the data and information or the addition of the information does not confer copyright or any other form of property of the original material to a user. 8. All maps or reports that are derived from the data or information must acknowledge the Crown copyright, in the following way: Crown Copyright: Department of Conservation Te Papa Atawhai [year]. 9. This information resource may be passed onto another party, in either hard copy or electronic form. If a user does this, then it is recommended that they also supply this metadata record with the information resource.

Glossary of layers associated with the BLM Natl IRFMS Sagebrush Assessment and Geospatial Evaluation (SAGE) Data Interactive Map Viewer web map application.

Department of Conservation - Recreation Hunting Permit Areas. This dataset is the Department of Conservation's record of those parts of Public Conservation Land where recreational hunting may take place. If hunting within these areas you MUST obtain a hunting permit first; either online at Things to do - Hunting or from your local DOC office. *****DISCLAIMER***** 1. DOC makes no express or implied warranties as to the accuracy or completeness of the data or information, nor its suitability for any purpose. Errors are inevitably part of any database, and can arise by a number of means, from errors during field data collection, to errors during data entry. 2. DOC makes no warranties or representations as to possible infringement upon copyrights or other intellectual property rights of others in the data or information. 3. DOC will not accept liability for any direct, indirect, special or consequential damages, losses or expenses howsoever arising and relating to use, or lack of use, of the data or information supplied. *****GUIDELINES FOR THE USE OF THE INFORMATION***** 4. Care should be taken in deriving conclusions from any data or information supplied. 5. Any use of the data or information supplied should state when the data or information was acquired and that it may now be out-of-date. *****COPYRIGHT OBLIGATIONS***** 6. All proprietary rights to the intellectual property in the data or information remain with the Crown as its sole property. 7. Modification of the data and information or the addition of the information does not confer copyright or any other form of property of the original material to a user. 8. All maps or reports that are derived from the data or information must acknowledge the Crown copyright, in the following way: Crown Copyright: Department of Conservation Te Papa Atawhai [year]. 9. This information resource may be passed onto another party, in either hard copy or electronic form. If a user does this, then it is recommended that they also supply this metadata record with the information resource. *****LICENCE***** This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this license, visit https://creativecommons.org/licenses/by/4.0/ or send a letter to Creative Commons, 444 Castro Street, Suite 900, Mountain View, California, 94041, USA.

This interactive map includes build telecommunication facilities, dark fiber (both future and in progress), and other telecommunication-related data. In September 2020, the Loudoun County Board of Supervisors directed staff to document telecommunication projects completed, in-progress, and future projects, using the 2014 Wireless GAP Analysis and the Segra Dark Fiber Area Network. Staff mapped the data identified by the Board, as well as other information related to telecommunication projects. This information was then used to identify select unserved or underserved geographic areas of the county.The companion Story Map steps through each dataset used in the project.

Recreation Hunting Permit Areas - spatial representation of those parts of DOC's Public Conservation Land where recreational hunting may take place. If hunting within these areas you MUST obtain a hunting permit first; either online at http://www.doc.govt.nz/parks-and-recreation/hunting/ or from your local DOC office. These data are based upon land parcels (cadastre) but are not suitable for accurate boundary definition.

This tutorial will teach you how to take time-series data from many field sites and create a shareable online map, where clicking on a field location brings you to a page with interactive graph(s).

The tutorial can be completed with a sample dataset (provided via a Google Drive link within the document) or with your own time-series data from multiple field sites.

Part 1 covers how to make interactive graphs in Google Data Studio and Part 2 covers how to link data pages to an interactive map with ArcGIS Online. The tutorial will take 1-2 hours to complete.

An example interactive map and data portal can be found at: https://temple.maps.arcgis.com/apps/View/index.html?appid=a259e4ec88c94ddfbf3528dc8a5d77e8

Saucedo, G.J., Wagner, D.L., 1992, "Geologic Map of the Chico Quadrangle Scale 1:250,000." State of California Department of Conservation. This resource is available for as an interactive map and download.

As sea level continues to rise due to the effects of climate change, the Strait of Georgia coastline is predicted to have increased inundation near coastal areas. This non-interactive map showcases three datasets: Potential year 2100 coastal floodplain areas; based on approximate flood construction levels and incorporating sea level rise (more information available here).Shoreline sensitivity to sea level rise; ratings were developed using an existing biogeographic land classification dataset (Broad Ecosystem Inventory), and previously rated sensitivity of coastal and marine feature classes (ShoreZone) that were modified to account for the effects of slope, exposure and sediment mobility (more information available here).Predicted coastal flood inundation for Victoria Inner Harbour modeled as part of the Capital Regional District Regional Coastal Flood Inundation Project.Combined, these layers show coastal segments predicted to be particularly at risk due to the impacts of climate change.

This non-interactive map displays change in annual average precipitation per century in British Columbia from 1900 to 2013. The map is a replication of visuals available through the Province of BC website found here. Full credit is given to the Pacific Climate Impacts Consortium, Environment Canada, and Province of BC for their involvement in the creation of visuals and data.British Columbia Ministry of Environment. (2015). Indicators of Climate Change for British Columbia: 2016 Update. Ministry of Environment, British Columbia, Canada.

This dataset is used in the map tooltip documentation to explain different ways to enhance information in a map.This database represents locations of Hospitals for 50 states and Washington D.C. , Puerto Rico and US territories. The dataset only includes hospital facilities and does not include nursing homes. Data for all the states was acquired from respective states departments or their open source websites and then geocoded and converted into a spatial database. After geocoding the exact spatial location of each point was moved to rooftops wherever possible and points which have been physically verified have been labelled "Geocode", "Imagery", "Imagery with other" and "Unverified" depending on the methodology used to move the points. "Unverified" data points have still not been physically examined even though each of the points has been street geocoded as mentioned above. Missing records are denoted by 'Not Available' or NULL values. Not Available denotes information that was either missing in the source data or data that has not been populated current version. This dataset has been developed to represent Hospitals for inclusion in the HSIP datasets.

Geologic map of the Monterey 30 x 60 Quadrangle and adjacent areas, California, Scale 1:100,000. This resource is available online by the California Geological Survey as an interactive map. For more information see links provided.

Geologic map of the Lake Tahoe Basin, California and Nevada, Scale 1:100,000. This map is available as an interactive map, downloadable PDF, and for purchase by contacting the California Geological Survey. For more information see the links provided.

This data contains the scores from the Residential Displacement Risk Map, created by the Mayor’s Office of Housing (MOH) and released in March of 2025. The Residential Displacement Risk Map is Boston’s first interactive map measuring current displacement pressures and levels of residential displacement risk across Boston. The map aims to increase understanding of this challenge, and will be updated every couple of years to keep track of changing patterns.

This map is part of Boston’s first ever Anti-Displacement Action Plan. The Action Plan responds to residential, small business, and cultural displacement with new tools to fill gaps in Boston’s existing anti-displacement toolkit. It will also better position the City to target resources to people, places, and spaces at greatest risk of displacement, and it includes recommendations for how to use this map in planning, policy, and development decision making.

The Residential Displacement Risk Map can also be used to raise awareness of displacement and housing instability challenges and provide a data-driven understanding of displacement risk. It is meant to be used by the City, residents, community organizations, academics, housing advocates, and more.

The Residential Displacement Risk Map measures community-level displacement, meaning how likely it is for high numbers of households to be displaced from an area, changing its fundamental demographic makeup. The Residential Displacement Risk Map does not measure household- or individual-level displacement risk, or how likely it is for any one household or individual to be displaced. Those who live in a high-risk area will not necessarily be displaced. The map only paints a general picture of an area’s sensitivity to displacement pressures. A higher score indicates a higher risk of displacement.

The Residential Displacement Risk Map measures direct displacement (when residents are forced to move from their homes, such as in an eviction or a foreclosure) and estimates economic displacement (when current residents of an area can no longer afford to live there). The map uses direct displacement as a guidepost for predicting where economic displacement is likely to occur, based on a variety of characteristics that are associated with direct displacement. If an area has high direct displacement (evictions and foreclosures), then it is likely to also have high economic displacement. More detail on how the Residential Displacement Risk Map measures risk can be found in the technical documentation linked below.

The Displacement Risk Map can be directly accessed here: https://experience.arcgis.com/experience/177e64a85f4041d2b4655d7cd1991c56/

Learn more about the City’s Anti-Displacement Action Plan here: https://www.boston.gov/departments/planning-advisory-council/anti-displacement-action-plan#:~:text=It%20lays%20out%20priority%20policies,and%20preserving%20existing%20affordable%20housing

Technical documentation for the map can be accessed here: https://docs.google.com/document/d/1ctv0S67Rx5GA46GbY_Glo_y-JYoQRCMS336yPDw_18o/edit?usp=sharing

Geologic map of the Oceanside Quadrangle, Scale 1:100,000. This resource is available online as a interactive map and downloadable file. For more information see links provided.

Geologic Map of the Sacramento Quadrangle. RGM001A (set of four sheets). This resource is available as an interactive map, downloadable PDF file, for purchase by contacting the California Geological Survey. For more information see links provided.

Houston Hurricane Harvey Shelter Availability and Needs Data

Aid and Resources for Displaced Residents

By Selene Arrazolo [source]

About this dataset

This dataset contains information on the shelter availability in Houston during Hurricane Harvey, when devastating floods and destruction left thousands homeless. Join the slack group to stay up-to-date on current emergency needs and view maps pinpointing available shelters in your immediate vicinity. With the help of charitable organizations, volunteers, and disaster responders across the globe—we’re helping those affected start their path to rebuilding a safe and stable home. Knowledge is power, so help us spread awareness to ensure that no one goes unaided in this time of need. View meaningful data points from this dataset including accommodation status, check-in times, address locations, contact info for established shelters – without bounds or borders! Let’s use our strengths together to make sure that every recovered household can continue life stronger than before

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How to use the dataset

How to Use This Dataset: Houston Hurricane Harvey Shelter Availability & Needs Info

This Dataset contains information on the availability of shelters in Houston during Hurricane Harvey that are actively being monitored by Sketch City. It includes data on shelter locations, availability, and needs for volunteers and donated items. Here's a quick guide on how to make the most of this dataset.

• Download and view the raw data from Houston-shelter-availability - LAST UPDATED September 2nd 2017.csv or view it directly at this Google doc. This contains detailed information on each shelter including its name, capacity, location, contact info, list of items needed (including food & water), and any other special notes or requests that have been provided by that particular shelter coordinator at the time of going live with this doc (Sept 2nd 2017)

2a) View an interactive map visualizing where all Houston shelters are located along with their current status (i.e., Open vs Closed): Visit this link. For example, if you would like to identify open shelters within a 5 mile radius from Downtown Houston you can utilize this map showing markers for them accordingly along with links to a full page profile containing more detailed information about each shelter plus needs list per location:

2b) Alternatively view an interactive map summarizing volunteer needs across all affected areas:visit this link This is ideal if you would like to summarize summary volunteer opportunities as well as donated materials needed across multiple locations at once — thus allowing visitors better understand situation holistically before viewing individual profiles per location specified in #1 above

• Last but not least; If you see something missing from any type of profile mentioned above or have any questions do not hesitate to get in touch with those who are running & curating efforts around these docs either via Hurricane Harvey Slack team #or Facebook page https:/facebook/​SketchCityHouston

Research Ideas

• Creating a map to help people in need to quickly find the nearest shelter with available space.
• Building an app that keeps people up-to-date about changing availability of shelters as well as needs for supplies and services at each location.
• Developing a chatbot that answers questions from potential volunteers or support staff about Harvey shelters and resources available in Houston during Hurricane Harvey

Acknowledgements

If you use this dataset in your research, please credit the original authors. Data Source

License

License: Dataset copyright by authors - You are free to: - Share - copy and redistribute the material in any medium or format for any purpose, even commercially. - Adapt - remix, transform, and build upon the material for any purpose, even commercially. - You must: - Give appropriate credit - Provide a link to the license, and indicate if changes were made. - ShareAlike - You must distribute your contributions under the same license as the original. - Keep intact - all notices that refer to this license, including copyright notices.

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This 2013 dataset includes information at the block group-level for the 5-county Austin metro area. Economic, educational, housing, mobility, and environmental indicators are calculated for each block group to provide a comprehensive opportunity index score. This score reflects "opportunity" in the area, defined as a situation or condition that places individuals in a position to be more likely to succeed or excel. This data was collected and calculated by the Kirwan Institute, with collaboration from Green Doors and various community partners, and is compiled in "Geography of Opportunity in Austin" (http://www.greendoors.org/programs/docs/Geography-of-Opportunity-Austin-2013.pdf#page=43). The data can be viewed in an interactive map form here: http://www.arcgis.com/home/webmap/viewer.html?webmap=5db08646b03547abab85aec0a3592fb7. The data is also available in shapefile format for use in ESRI GIS mapping applications here: https://data.austintexas.gov/Neighborhood/Kirwin-Opportunity-Map/3ns6-m3cy.

This vector tile layer presents the World Topographic Map style (World Edition) and provides a basemap for the world, symbolized with a classic Esri topographic map style. This layer includes highways, major roads, minor roads, railways, water features, cities, parks, landmarks, building footprints, and administrative boundaries, designed for use with World Hillshade for added context. This vector tile layer provides unique capabilities for customization, high-resolution display, and use in mobile devices.This vector tile layer is built using the same data sources used for other Esri Vector Basemaps. For details on data sources contributed by the GIS community, view the map of Community Maps Basemap Contributors. Esri Vector Basemaps are updated monthly.This layer is used in the Topographic web map included in ArcGIS Living Atlas of the World.See the Vector Basemaps group for other vector tile layers, including Topographic (with Contours and Hillshade) multisource tile layer.Customize this StyleLearn more about customizing this vector basemap style using the Vector Tile Style Editor. Additional details are available in ArcGIS Online Blogs and the Esri Vector Basemaps Reference Document.

This non-interactive map displays change in annual average temperature per century in British Columbia from 1900 to 2013. The map is a replication of visuals available through the Province of BC website found here. Full credit is given to the Pacific Climate Impacts Consortium, Environment Canada, and Province of BC for their involvement in the creation of visuals and data.British Columbia Ministry of Environment. (2015). Indicators of Climate Change for British Columbia: 2016 Update. Ministry of Environment, British Columbia, Canada.

Spatial information on the arrangement of geological features, habitats and living marine resources on the seabed are often the foundation for decision-making in ecosystem management and ocean planning. Collecting information on the seabed depths and geomorphology is an expensive operation requiring airborne platforms like satellites, planes or drones, or small vessels to large research ships. Coordinating these data needs and data collection efforts will better leverage collective resources and meet shared goals. To help enable this coordination, in 2020 the National Oceanic and Atmospheric Administration (NOAA) National Centers for Coastal Ocean Science (NCCOS) developed a spatial framework, process, and online application to identify common data collection priorities for seafloor mapping, sampling, and visual surveys along shore and offshore of the Southeast United States (North Carolina, South Carolina, and Georgia).

Twenty-five representatives from federal and state agencies, academic institutions, and non-governmental conservation groups, designated seafloor mapping priorities using an online prioritization tool. Participants allocated virtual coins across 5 km x 5 km grid cells to denote their organization’s regions of seafloor mapping needs. Grid cells with more coins were higher priorities than cells with fewer coins. Participants also reported why these locations were important and what data types were needed. Results were analyzed and mapped using statistical techniques to identify significant relationships between priorities, reasons for those priorities and data needs. These data are the summarized results from this project and can also be viewed in an online web map (https://noaa.maps.arcgis.com/apps/webappviewer/index.html?id=04cdd2a68c4f427f893f2042f326dc80).

Several common areas of interest were identified in the spatially explicit analysis of the responses. Nearshore surfzone along Georgia, South Carolina, and North Carolina were highlighted by several agencies and organizations interested in sediment and sand resources as well as potential for rocky reef habitats. Inshore estuarine areas were highlighted by state agencies and conservation groups interested in monitoring change in managed areas like National Estuarine Reserves. On the outer continental shelf, areas near Blake Plateau off South Carolina and the continental shelf break off North Carolina were identified by federal agencies and conservation organizations as areas of sensitive habitats or historically significantly shipwrecks and maritime resources.

The seafloor mapping prioritization approach described in the Buckel et al. (2021, https://doi.org/10.25923/qh2c-hs73) report associated with these data provides recommendations to organizations charged with mapping the seabed for navigation and commerce as well as resource assessments and management. Already, the priority areas identified in this exercise are being used by NOAA to focus planned seafloor mapping missions. Furthermore, the outcomes from this regional exercise contribute into a National Mapping Prioritization under the lead of NOAA to coordinate mapping activities across the entire US EEZ. Together, these quantitative seafloor mapping prioritization approaches will enable improved coordination and more efficient allocation of resources needed to conduct seafloor mapping providing data to support environmental stewardship, safe navigation and commerce. Additional information is available in the data documentation associated with this archive, for a complete description of methods and results see Buckel et al. 2021.