ODC Public Domain Dedication and Licence (PDDL) v1.0http://www.opendatacommons.org/licenses/pddl/1.0/
License information was derived automatically
This layer contains polygons that split the City of Cambridge into 286 city blocks. Each block boundary is associated with an Assessors map, and a group of parcels. Each individual parcel has a map and lot associated to it. The 'map' refers to one of these blocks, the 'lot' is the tax parcel within the block. Explore all our data on the Cambridge GIS Data Dictionary.Attributes NameType DetailsDescription PCIX_NO type: Stringwidth: 6precision: 0 Block number
BSIZE_MAP_SCALE type: Integerwidth: 4precision: 10 Scaling for 11 x 17 maps
BSIZE_INCH_TO_FOOT type: Integerwidth: 4precision: 10 Scaling for 11 x 17 maps
DSIZE_MAP_SCALE type: Integerwidth: 4precision: 10 Scaling for D size maps
DSIZE_INCH_TO_FOOT type: Integerwidth: 4precision: 10 Scaling for D size maps
ROTATION type: Doublewidth: 8precision: 38 Rotation angle for 11" x 17" map set
ODC Public Domain Dedication and Licence (PDDL) v1.0http://www.opendatacommons.org/licenses/pddl/1.0/
License information was derived automatically
This layer contains polygons that split the City of Cambridge into 286 city blocks. Each block boundary is associated with an Assessors map, and a group of parcels. Each individual parcel has a map and lot associated to it. The 'map' refers to one of these blocks, the 'lot' is the tax parcel within the block. Explore all our data on the Cambridge GIS Data Dictionary.Attributes NameType DetailsDescription PCIX_NO type: Stringwidth: 6precision: 0 Block number
BSIZE_MAP_SCALE type: Integerwidth: 4precision: 10 Scaling for 11 x 17 maps
BSIZE_INCH_TO_FOOT type: Integerwidth: 4precision: 10 Scaling for 11 x 17 maps
DSIZE_MAP_SCALE type: Integerwidth: 4precision: 10 Scaling for D size maps
DSIZE_INCH_TO_FOOT type: Integerwidth: 4precision: 10 Scaling for D size maps
ROTATION type: Doublewidth: 8precision: 38 Rotation angle for 11" x 17" map set
ODC Public Domain Dedication and Licence (PDDL) v1.0http://www.opendatacommons.org/licenses/pddl/1.0/
License information was derived automatically
This layer contains polygons that split the City of Cambridge into 286 city blocks. Each block boundary is associated with an Assessors map, and a group of parcels. Each individual parcel has a map and lot associated to it. The 'map' refers to one of these blocks, the 'lot' is the tax parcel within the block. This data is updated through January 1, 2012.Explore all our data on the Cambridge GIS Data Dictionary.Attributes NameType DetailsDescription PCIX_NO type: Stringwidth: 6precision: 0 Block number
BSIZE_MAP_SCALE type: Integerwidth: 4precision: 10 Scaling for 11 x 17 maps
BSIZE_INCH_TO_FOOT type: Integerwidth: 4precision: 10 Scaling for 11 x 17 maps
DSIZE_MAP_SCALE type: Integerwidth: 4precision: 10 Scaling for D size maps
DSIZE_INCH_TO_FOOT type: Integerwidth: 4precision: 10 Scaling for D size maps
ROTATION type: Doublewidth: 8precision: 38 Rotation angle for 11" x 17" map set
Use the 3D Viewer template to showcase your scene with default 3D navigation tools, including zoom controls, pan, rotate, and compass. Include a locator map and bookmarks to provide context to your scene and guide app viewers to points of interest. Line of sight, measure, and slice tools allow viewers to interpret 3D data. Set the option to disable scrolling in the app to seamlessly embed this app in another app or site. Examples: Present a detailed 3D view of a mountainous region at a large scale while the 2D inset map provides context of where you are in the world. Display a 3D plan for new urban development that app viewers can explore with slice and measurement tools. Allow users to visualize the impact of shadows on a scene using daylight animation. Data requirements The 3D Viewer template requires a web scene. Key app capabilities 3D navigation and Compass tool - Allow app users to pan or rotate the scene and orient their view to north. Locator map - Display an inset map with the app's map area in the context of a broader area. Line of sight - Visualize whether one or multiple targets are visible from an observer point. Measurement tools - Provide tools that measure distance and area and find and convert coordinates. Slice - Excludes specific layers to change the view of a scene. Bookmarks - Provide a collection of preset extents that are saved in the scene to which users can navigate the map. Disable scroll - Prevent the map from zooming when app users scroll Language switcher - Provide translations for custom text and create a multilingual app. Home, Zoom controls, Legend, Layer List, Search Supportability This web app is designed responsively to be used in browsers on desktops, mobile phones, and tablets. We are committed to ongoing efforts towards making our apps as accessible as possible. Please feel free to leave a comment on how we can improve the accessibility of our apps for those who use assistive technologies.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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Calendar 2024 of the Greater Region: wine and viticulture Data: Working party Land registry and mapping of the Summit of the Greater Region: Harmonization: GIS-GR 2023 Link to interactive map: https://map.gis-gr.eu/theme/main?version=3&zoom=8&X=708580&Y=6429642&lang=fr&rotation=0&layers=2384&opacities=1&bgLayer=basemap_2015_global Link to Geocatalog: https://geocatalogue.gis-gr.eu/geonetwork/srv/eng/catalog.search#/metadata/30d3eb87-e5a6-48cd-8ba1-a93584d46957 This dataset is published in the view service (WMS) available at: http://ws.geoportail.lu/wss/service/GR_Agriculture_WMS/guest?service=WMS&request=GetCapabilities with layer name(s): -Wine_viticulture_calendar_2024
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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Presence of the Lady's-slipper orchid (Cypripedium calceolus) Illustration as grid cells 10x10km Data sources: MNHN Luxemburg, MNHN France, Ministerium für Umwelt und Verbraucherschutz Saarland, Landesamt für Umwelt (LfU) Rheinland-Pfalz, SPW/ARNE/DEMNA, Natagora and collaborators Link to interactive map: https://map.gis-gr.eu/theme/main?version=3&zoom=8&X=708580&Y=6429642&lang=fr&rotation=0&layers=2297&opacities=1&bgLayer=basemap_2015_global Link to Geocatalog: https://geocatalogue.gis-gr.eu/geonetwork/srv/eng/catalog.search#/metadata/413a2ebd-e5f6-4a3b-824b-1c66fec40c4e This dataset is published in the view service (WMS) available at: https://ws.geoportail.lu/wss/service/GR_Natudata_plants_WMS/guest with layer name(s): -Cypripedium_calceolus
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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Presence of the Northern crested newt (Triturus cristatus) Illustration as grid cells 10x10km Data sources: MNHN Luxemburg, MNHN France, Ministerium für Umwelt und Verbraucherschutz Saarland, Landesamt für Umwelt (LfU) Rheinland-Pfalz, SPW/ARNE/DEMNA, Natagora and collaborators Link to interactive map: https://map.gis-gr.eu/theme/main?version=3&zoom=8&X=708580&Y=6429642&lang=fr&rotation=0&layers=2284&opacities=1&bgLayer=basemap_2015_global Link to Geocatalog: https://geocatalogue.gis-gr.eu/geonetwork/srv/eng/catalog.search#/metadata/1a3d8bbe-a23c-4a1b-943f-6b6672538436 This dataset is published in the view service (WMS) available at: https://ws.geoportail.lu/wss/service/GR_Natudata_amphibians_WMS/guest with layer name(s): -Triturus_cristatus
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Cross-border commuters from the German-speaking community of Belgium to Luxembourg at place of residence (municipalities): 2013-2023 Territorial entities: municipalities - Commuting data sources: IGSS. Calculations: OIE/IBA 2024 Geodata sources: 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=2410&opacities=1&bgLayer=basemap_2015_global Link to Geocatalog: https://geocatalogue.gis-gr.eu/geonetwork/srv/eng/catalog.search#/metadata/1bf50602-fadc-473a-be64-d1382554e3df This dataset is published in the view service (WMS) available at: https://ws.geoportail.lu/wss/service/GR_Commuter_flows_to_Luxembourg_WMS/guest with layer name(s): -Commuters_DG_LUX_2013_2023_change -Commuters_DG_LUX_2013_2023_share
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Cross-border spatial planning documents in the Greater Region and the Upper Rhine 2024 Sources: EOM, Eurodistrict SaarMoselle, GECT Alzette Belval, GeoRhena, GT Aménagement Rhin supérieur - AG Raumordnung Oberrhein, MLOGAT-DATer Luxembourg 2024. Harmonization: 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=2389&opacities=1&bgLayer=basemap_2015_global Link to Geocatalog: https://geocatalogue.gis-gr.eu/geonetwork/srv/eng/catalog.search#/metadata/4ec1dfc5-83a6-4059-86e2-a43b36d0d60f This dataset is published in the view service (WMS) available at: https://ws.geoportail.lu/wss/service/GR_Spatial_planning_WMS/guest with layer name(s): -Cross_border_strategies_2024 -Common_border_GR_UR -Cross_border_strategies_2024_outlines -Intersect_SDTGR_Projet_territoire_RS_2024 -Limites_nationales_GR_line_disso -Limites_nationales_RS_line_disso -Perimeter_GR_UR
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Subregional spatial planning documents in the Greater Region and the Upper Rhine 2024 Sources: GeoRhena, MDI Rheinland-Pfalz, MIBS Saarland, Ministerium der Deutschsprachigen Gemeinschaft, MLOGAT-DATer Luxembourg, Région Grand Est, Service public de Wallonie, Verband Rhein-Neckar 2024. Harmonization: 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=2388&opacities=1&bgLayer=basemap_2015_global Link to Geocatalog: https://geocatalogue.gis-gr.eu/geonetwork/srv/eng/catalog.search#/metadata/26d0b355-184e-4dc6-8984-8094215e8dac This dataset is published in the view service (WMS) available at: https://wms.gis-gr.eu/service with layer name(s): -GR/Subregional_planning_documents_Greater_Region_Upper_Rhine_2024/Common_border_GR_UR -GR/Subregional_planning_documents_Greater_Region_Upper_Rhine_2024/Perimeter_GR_UR -GR/Subregional_planning_documents_Greater_Region_Upper_Rhine_2024/Subregional_strategies_2024
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Underlying dimensions of landscape value assessment using principal axis factoring extraction method and Promax Rotation with Kaiser Normalization (KMO = 0.855, the significance level of Bartlett’s Test of Sphericity is 0.000, total variance explained is 53.725%).
Attribution-NoDerivs 3.0 (CC BY-ND 3.0)https://creativecommons.org/licenses/by-nd/3.0/
License information was derived automatically
The seamless, county-wide parcel layer was digitized from official Assessor Parcel (AP) Maps which were originally maintained on mylar sheets and/or maintained as individual Computer Aided Design (CAD) drawing files (e.g., DWG). The CRA office continues to maintain the official AP Maps in CAD drawings and Information Systems Department/Geographic Information Systems (ISD/GIS) staff apply updates from these maps to the seamless parcel base in the County’s Enterprise GIS. This layer is a partial view of the Information Sales System (ISS) extract, a report of property characteristics taken from the County’s Megabyte Property Tax System (MPTS). This layer may be missing some attributes (e.g., Owner Name) which may not be published to the Internet due to privacy conditions under the California Public Records Act (CPRA). Please contact the Clerk-Recorder-Assessor (CRA) office at (707) 565-1888 for information on availability, associated fees, and access to other versions of Sonoma County parcels containing additional property characteristics.The seamless parcel layer is updated and published to the Internet on a monthly basis.The seamless parcel layer was developed from the source data using the general methodology outlined below. The mylar sheets were scanned and saved to standard image file format (e.g., TIFF). The individual scanned maps or CAD drawing files were imported into GIS software and geo-referenced to their corresponding real-world locations using high resolution orthophotography as control. The standard approach was to rescale and rotate the scanned drawing (or CAD file) to match the general location on the orthophotograph. Then, appropriate control points were selected to register and rectify features on the scanned map (or CAD drawing file) to the orthophotography. In the process, features in the scanned map (or CAD drawing file) were transformed to real-world coordinates, and line features were created using “heads-up digitizing” and stored in new GIS feature classes. Recommended industry best practices were followed to minimize root mean square (RMS) error in the transformation of the data, and to ensure the integrity of the overall pattern of each AP map relative to neighboring pages. Where available Coordinate Geometry (COGO) & survey data, tied to global positioning systems (GPS) coordinates, were also referenced and input to improve the fit and absolute location of each page. The vector lines were then assembled into a polygon features, with each polygon being assigned a unique identifier, the Assessor Parcel Number (APN). The APN field in the parcel table was joined to the corresponding APN field in the assessor property characteristics table extracted from the MPTS database to create the final parcel layer. The result is a seamless parcel land base, each parcel polygon coded with a unique APN, assembled from approximately 6,000 individual map page of varying scale and accuracy, but ensuring the correct topology of each feature within the whole (i.e., no gaps or overlaps). The accuracy and quality of the parcels varies depending on the source. See the fields RANK and DESCRIPTION fields below for information on the fit assessment for each source page. These data should be used only for general reference and planning purposes. It is important to note that while these data were generated from authoritative public records, and checked for quality assurance, they do not provide survey-quality spatial accuracy and should NOT be used to interpret the true location of individual property boundary lines. Please contact the Sonoma County CRA and/or a licensed land surveyor before making a business decision that involves official boundary descriptions.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Green stars restaurants of the Guide Michelin 2024 Source: Guide Michelin 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=2391&opacities=1&bgLayer=basemap_2015_global Link to Geocatalog: https://geocatalogue.gis-gr.eu/geonetwork/srv/eng/catalog.search#/metadata/f3a5fdbd-4be7-49f1-80b7-417939baa504 This dataset is published in the view service (WMS) available at: http://ws.geoportail.lu/wss/service/GR_Culture_tourism_WMS/guest with layer name(s): -Michelin_green_star_restaurants_2024
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Presence of the Eurasian Beaver (Castor fiber) Illustration as grid cells 10x10km Data sources: MNHN Luxemburg, MNHN France, Ministerium für Umwelt und Verbraucherschutz Saarland, Landesamt für Umwelt (LfU) Rheinland-Pfalz, SPW/ARNE/DEMNA, Natagora and collaborators Link to interactive map: https://map.gis-gr.eu/theme/main?version=3&zoom=8&X=708580&Y=6429642&lang=fr&rotation=0&layers=2335&opacities=1&bgLayer=basemap_2015_global Link to Geocatalog: https://geocatalogue.gis-gr.eu/geonetwork/srv/eng/catalog.search#/metadata/787c95d7-c458-417c-aae2-72d10ac43d80 This dataset is published in the view service (WMS) available at: https://ws.geoportail.lu/wss/service/GR_Natudata_mammals_WMS/guest with layer name(s): -Castor_fiber
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Cross-border commuters from Wallonia to Luxembourg at place of residence (Arrondissements): 2013-2023 Territorial entities: Arrondissements Commuting data sources: INAMI. Calculations: OIE/IBA 2024 Geodata sources: 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=2409&opacities=1&bgLayer=basemap_2015_global Link to Geocatalog: https://geocatalogue.gis-gr.eu/geonetwork/srv/eng/catalog.search#/metadata/a852c7c4-8c13-4b77-8708-3ff0e4946e05 This dataset is published in the view service (WMS) available at: https://ws.geoportail.lu/wss/service/GR_Commuter_flows_to_Luxembourg_WMS/guest with layer name(s): -Commuters_WAL_LUX_2013_2023_change -Commuters_WAL_LUX_2013_2023_share
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ODC Public Domain Dedication and Licence (PDDL) v1.0http://www.opendatacommons.org/licenses/pddl/1.0/
License information was derived automatically
This layer contains polygons that split the City of Cambridge into 286 city blocks. Each block boundary is associated with an Assessors map, and a group of parcels. Each individual parcel has a map and lot associated to it. The 'map' refers to one of these blocks, the 'lot' is the tax parcel within the block. Explore all our data on the Cambridge GIS Data Dictionary.Attributes NameType DetailsDescription PCIX_NO type: Stringwidth: 6precision: 0 Block number
BSIZE_MAP_SCALE type: Integerwidth: 4precision: 10 Scaling for 11 x 17 maps
BSIZE_INCH_TO_FOOT type: Integerwidth: 4precision: 10 Scaling for 11 x 17 maps
DSIZE_MAP_SCALE type: Integerwidth: 4precision: 10 Scaling for D size maps
DSIZE_INCH_TO_FOOT type: Integerwidth: 4precision: 10 Scaling for D size maps
ROTATION type: Doublewidth: 8precision: 38 Rotation angle for 11" x 17" map set