This data is part of the series of maps that covers the whole of Australia at a scale of 1:250 000 (1cm on a map represents 2.5km on the ground) and comprises 513 maps. This is the largest scale at which published topographic maps cover the entire continent. Data is downloadable in various distribution formats.

The State of Alaska and the Forest Service entered into a Challenge Cost-share agreement in June 2015, to complete a timber stand inventory in young-growth forest. This work supports collecting, analyzing, and using forest resource information to implement sound, sustainable forest management practices across Southeast Alaska, while offering training and developing job opportunites for rural residents in natural resource fields. This layer depicts the field-sampled plots for the timber cruise, as well as plot status and date completed. These points are sampled on a standard grid, created using the Alaska Region Stand Exam Preparation (StExPrep) program.

A downloadable, printable 8.5 x 11 inch PDF map of Young America Township and surrounding area.

All data associated with the Town of Young Floodplain Risk Management Study and Plan.

GIS Data Outputs, Hydraulics, Hydrology, Reporting, Survey.

CDFW BIOS GIS Dataset, Contact: William Bryant, Description: This update to the Digital Database of Faults from the Fault Activity Map of California and Adjacent Areas (Jennings, 1994) is an interim/partially completed product that will be superceded by future updates. These updates apply to Quaternary and younger faults only - pre-Quaternary faults have not been modified or attributed. This version of the data has been converted to the California Teale Albers projection in NAD83 datum by the California Department of Fish and Game.

Populations of many cold-water species are likely to decline this century with global warming, but declines will vary spatially and some populations will persist even under extreme climate change scenarios. Especially cold habitats could provide important refugia from both future environmental change and invasions by non-native species that prefer warmer waters. The Climate Shield website hosts geospatial data and related information that describes specific locations of cold-water refuge streams for native Cutthroat Trout (Oncorhynchus clarkii) and Bull Trout (Salvelinus confluentus) across the American West. Forecasts about the locations of refugia could enable the protection of key watersheds, inform support among multiple stakeholders, and provide a foundation for planning climate-smart conservation networks that improve the odds of preserving native trout populations through the 21st century. The Northern Rockies Adaptation Partnership provided a valuable forum that accelerated this work. The Great Northern and North Pacific Landscape Conservation Cooperatives generously funded the NorWeST project, which serves as the foundation for Climate Shield. The Climate Shield Cutthroat Trout and Bull Trout models were developed from fish surveys conducted at more than 4,500 locations in over 500 streams, as described in the cited peer-reviewed studies and agency reports. Resources in this dataset:Resource Title: Digital Maps and ArcGIS Shapefiles. File Name: Web Page, url: https://www.fs.fed.us/rm/boise/AWAE/projects/ClimateShield/maps.html Information is available here to download as easy-to-use digital maps (.pdf files) and ArcGIS shapefiles for all streams within the historical ranges of native trout across the northwestern U.S. The geographic areas match the NorWeST production units because those stream temperature scenarios are integral to Climate Shield.

This layer contains point features of Youth Centers in Cambridge.Explore all our data on the Cambridge GIS Data Dictionary.Attributes NameType DetailsDescription SITE_NAME type: Stringwidth: 50precision: 0 Youth center name

ADDRESS type: Stringwidth: 40precision: 0 Youth center address

PHONE type: Stringwidth: 16precision: 0 Youth center phone number

EditDate type: Stringwidth: 4precision: 0

Change in total number of young unemployed (15-24 years) 2013-2023 Territorial entities: arrondissements (Wallonie), zones d'emploi (Lorraine), Grand Duchy (Luxembourg), Kreise (Saarland, Rheinland-Pfalz) Employment data sources: ADEM; ADG; Bundesagentur für Arbeit; Eurostat; Le Forem; Pôle d'emploi - Dares. Calculations: OIE/IBA 2024 Geodata sources: ACT Luxembourg 2017, IGN France, GeoBasis-DE / BKG, NGI-Belgium. Harmonization: SIG-GR / GIS-GR 2024 Link to interactive map: https://map.gis-gr.eu/theme/main?version=3&zoom=8&X=708580&Y=6429642&lang=fr&rotation=0&layers=2416&opacities=1&bgLayer=basemap_2015_global Link to Geocatalog: https://geocatalogue.gis-gr.eu/geonetwork/srv/eng/catalog.search#/metadata/4daf5cef-f24a-424f-a584-da7d9ad07f19 This dataset is published in the view service (WMS) available at: https://ws.geoportail.lu/wss/service/GR_Unemployment_WMS/guest with layer name(s): -Change_young_unemployed_2013_2023 -Share_young_unemployed_2013_2023

Change in total number of young unemployed (15-24 years) 2008-2012 Territorial entities: arrondissements (Wallonie), zones d'emploi (Lorraine), Grand Duchy (Luxembourg), Kreise (Saarland, Rheinland-Pfalz) Employment data sources: ADG, Bundesagentur für Arbeit, Eurostat, Le Forem, Lorraine Parcours Métiers, Pôle d'emploi, Statec. Berechnungen: OIE/IBA 2014 Geodata sources: EuroGeographics EuroRegionalMap v3.0 - 2010. Harmonization: SIG-GR / GIS-GR 2014 Link to interactive map: https://map.gis-gr.eu/theme/main?version=3&zoom=8&X=708580&Y=6429642&lang=fr&rotation=0&layers=1691&opacities=1&bgLayer=basemap_2015_global Link to Geocatalog: https://geocatalogue.gis-gr.eu/geonetwork/srv/eng/catalog.search#/metadata/e6fa4c68-7ca1-4c88-8260-389bc921f7c4 This dataset is published in the view service (WMS) available at: https://ws.geoportail.lu/wss/service/GR_Unemployment_WMS/guest with layer name(s): -Change_young_unemployed_2008-2012

Geospatial data about Lane County, Oregon Campground. Export to CAD, GIS, PDF, CSV and access via API.

Spatial analysis with a GIS was used to evaluate geothermal systems in Nevada using digital maps of geology, heat flow, young faults, young volcanism, depth to groundwater, groundwater geochemistry, earthquakes, and gravity. High-temperature (>160??C) extensional geothermal systems are preferentially associated with northeast-striking late Pleistocene and younger faults, caused by crustal extension, which in most of Nevada is currently oriented northwesterly (as measured by GPS). The distribution of sparse young (<1.5Ma) basaltic vents also correlate with geothermal systems, possibly because the vents help identify which young structures penetrate deeply into the crust. As expected, elevated concentrations of boron and lithium in groundwater were found to be favorable indicators of geothermal activity. Known high-temperature (>160??C) geothermal systems in Nevada are more likely to occur in areas where the groundwater table is shallow (<30m). Undiscovered geothermal systems may occur where groundwater levels are deeper and hot springs do not issue at the surface. A logistic regression exploration model was developed for geothermal systems, using young faults, young volcanics, positive gravity anomalies, and earthquakes to predict areas where deeper groundwater tables are most likely to conceal geothermal systems.

Young people's open spaces (play areas) in York.

For further information please visit City of York Council's website.

*Please note that the data published within this dataset is a live API link to CYC's GIS server. Any changes made to the master copy of the data will be inmediately reflected in the resources of this dataset.The date shown in the "Last Updated" field of each GIS resource reflects when the data was first published.

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

Point geometry with attributes displaying food service program locations for summer youth meals in East Baton Rouge Parish, Louisiana.Metadata

This is a feature class outlining Palm Oil Plantations in Ucayali Province in Peru. A small team of faculty and student researchers hand digitized polygons delineating palm oil plantations in Ucayali, Peru in support of SERVIR Amazonia goals. GIS experts used high-resolution (< 1 m) optical observations to identify areas of oil palm presence across different conditions (young vs. mature, industrial vs. small-scale). This hand-digitized oil palm presence map will serve as a calibration / validation dataset for an automated classification model using remote sensing observations. This task presented numerous challenges, namely the availability of cloud-free, high resolution imagery. Polygons were digitized from numerous imagery datasets including mosaiced basemap imagery from Maxar and Planet Scope. Whenever the high resolution Maxar imagery was available, it was used. In some cases, we were unable to procure imagery in the time frame. We provide a training document describing our methodology and process in QGIS, an open source geospatial software package so other researchers could repeat our methods at later times or different geographic extents. The major variables in our study were the spatial extents of the palm oil plantations, whether they were open or closed canopy, and the imagery data source

Geospatial data about Eugene, Oregon Parks. Export to CAD, GIS, PDF, CSV and access via API.

Share of road traffic accidents involving injury with young car drivers (aged 18-24 years) 2015-2019 - Source: Sub-Working Group on Road Safety of the Summit of the Greater Region 2020 - Base map: © ACT Luxembourg 2017, IGN France 2017, GeoBasis-DE / BKG 2017, NGI-Belgium 2017

Operational level forest inventory data was acquired in 2019 and provided the basis for mapping, quantifying and assessing area-wide forest and commercial timber resources and for establishing the AAC for SSE. Forest inventory data from 2019 and the analysis in 2020 provides the following forest management benefits: Updated Timber Type data layer (map) contained in the State’s GIS for SSE Data acquired and analyzed through the forest inventory project was entered into the State’s GIS to create an updated timber type layer (map) of the commercial forest timber base in SSE containing individual timber stands. Updated timber type descriptors for each individual stand include stand species composition, stand density and per acre timber volume. SSE Forest Inventory Report July 17, 2020 4 Using the GIS to analyze the relationships between the commercial timber resource and other forest resources (transportation network, fish and wildlife habitat, cultural resources, etc.) allows the DOF to undertake and complete complex forest planning documents such as the Five-Year Schedules of Timber Sales (FYSTS), and Forest Land Use Plans (FLUPs) used to guide both broad scale and site-specific forest management activities. The GIS also allows DOF to track changes to the commercial timber base resulting from management activities including timber harvest, stand regeneration/reforestation, and timber stand improvement projects such as precommercial tree thinning. Updated Annual Allowable Cut for SSE The GIS timber type map for SSE, updated with the 2019 forest inventory data, formed the basis for area (acreage) and timber volume (board feet) figures necessary to calculate an updated AAC. The new GIS timber type map and associated data files along with newly available LiDAR data provided the raw data necessary to perform the growth and yield modelling to estimate timber volume and characteristics in the developing young growth stands over the course of the rotation.

The University of Rhode Island has conducted several studies of habitat use of Scolopax minor (American Woodcock) in Rhode Island, USA. In 2020 we developed a new species distribution model (SDM) tool to identify sites in the Rhode Island where forest clearcutting to create young forest habitat would have the most positive effect for American woodcock. A typical SDM predicts the probability of presence (POP) of a species at any location based on an analysis of known occurrences and environmental variables, but it cannot predict how much the POP of a species would change after a new patch of young forest is created in any location. We believe that our new tool is effective, and that it will help landowners identify the best locations on their properties to improve woodcock habitat. We also believe that similar tools can be developed for other wildlife species of conservation concern. We created the new tool by modifying the existing 2018 SDM raster for American Woodcock in Rhode Island. ...

These is an examples to test Data Processing Kernel in CyberGIS-Jupyter for water. The 2_map_visualization folder is an example of an interactive map visualization which is the high-level visualization using PyViz tools as post-processing of environmental modeling. For this example, we used the following PyViz tools: - geopandas (https://geopandas.org/), cartopy (https://scitools.org.uk/cartopy/), geoviews (https://geoviews.org/), and holoviews (https://holoviews.org/)