Daten des amtlichen Liegenschaftskatsterinformationssystems (ALKIS) - Die Bezirksgrenzen der 12 Berliner Bezirke.Quelle: Geoportal BerlinVerarbeitungsprozesse: WFS "ALKIS Bezirke" wurde in ArcGIS Pro importiert, nach Web Mercator projiziert und als Web Layer in ArcGIS Online veröffentlicht.

Geospatial data about Berlin, Connecticut Parcels. Export to CAD, GIS, PDF, CSV and access via API.

This scene highlights layers for Berlin, Germany available in ArcGIS to support your work in 3D. Use these layers in conjunction with your own layers to create new scenes focused on a specific topic or area of interest to you.What's in this scene? Terrain: Includes a global 3D terrain layer to provide elevation context. Your layers are placed in relationship to this terrainBasemap: Includes one of the ArcGIS Basemaps regularly used in in your mapping workScene Layers: Includes a layer of 3D buildings to help understand your data within the context of the built environment. The layer is a file type optimized for rendering in 3D.Create your own sceneOpen this item using the Open in Scene Viewer buttonChoose basemap: Select one of the ArcGIS basemaps from the Basemap GalleryAdd your own unique layersCreate slides to direct users to interesting places in your scene - See MoreSave and share the results of your work with others in your organization and the publicFor more see these helpful videosMashup 3D Content Using ArcGIS OnlineAuthor Web Scenes Using ArcGIS Online

OpenStreetMap is a project launched in 2004 to create a free world map. We collect data on roads, railways, rivers, forests, homes and anything else around the world, commonly seen on maps. Because we collect the data yourself and not distinguish from existing cards, we have all the rights to it. Open StreetMap data may be used free of charge by anyone and further processed at any time. This dataset contains the Berlin section of the Planet File. Other formats such as OSM-XML, shapefiles, SVG, Adobe Illustrator, Garmin GPS, GPX, GML, KML, Manifold GIS, grid graphics can be exported at http://wiki.openstreetmap.org/wiki/Export.

Open StreetMap-data questions can be discussed here: Http://forum.openstreetmap.org/viewforum.php?id=14

In 1999 development of Berlins' parcels commenced by the James Sewell company. In 2007, New England Geosystems took over as the GIS consultant for Berlin, CT. Parcel edits were created using coordinated geometry when possible, starting in 2007. Edits have been recorded since this date. Also in 2007, a project to draft and link all condo footprints was conducted and completed. These footprints are still maintained and updated as needed. New England Geosystems also manages and maintains a parcel point and arc layer, which is formatted in the same schema. Last updated: Oct. 2014

The data contains features and indicators for 224 parks (at least 2 ha in size) in the city of Berlin and overall scores (indices) for natural elements, built elements (infrastructure) and spatial context (e.g. distance to public transport). All data is supplement to linked online web map.

List of data and content

Park_Berlin_Indicators: vector files (*.shp, *.geojson)

Park_Berlin_Indicators: excel files (*.xlsx)

Spatial reference All data is projected in ETRS 1989 UTM Zone 33N (EPSG:25833)

Web-GIS View data and explore interactively using the online application.

Data sources and processing For details on underlying data sources (e.g. availabilty, spatial resolution, time reference) and on data processing please refer to the linked publication, incl. Appendix 1

Acknowledgments We thank the City of Berlin for providing data. We greatly acknowledge OpenStreetMap (OSM) and contributers for providing important parts of the used data. This work was supported by the research project “Environmental‐Health Interactions in Cities (GreenEquityHEALTH) ‐ Challenges for Human Well‐Being under Global Changes” (project duration 2017–2022), funded by the German Federal Ministry of Education and Research (BMBF; no.01LN1705A).

Based on related original publication Kraemer, R., & Kabisch, N. (2021). Parks in context: Advancing citywide spatial quality assessments of urban green spaces using fine-scaled indicators. Ecology and Society, 26(2). https://doi.org/10.5751/ES-12485-260245

Darstellung der in Berlin gelegenen Kleingartenanlagen.Meldung des Kleingartenbestandes durch die bezirklichen Natur- und Grünflächenämter. Datengrundlage: GRIS Berlin (Grünflächeninformations- und -managementsystem)Quelle: Geoportal BerlinVerarbeitungsprozesse: WFS Datei wurde in ArcGIS Pro importiert, nach WebMercator WGS84 projiziert und als Feature Service in ArcGIS Online veröffentlicht.

Models Berlin’s zoning districts and related information.Field Descriptions: DISTRICT: Zoning-district name. NOTE: Stores additional helpful information on the feature.

Berlin Updated Zoning 2019

Business Analyst Geographies Layer

3D-Gebäudemodell der Stadt Berlin."Der Datensatz enthält flächendeckend die dreidimensionalen Gebäudemodelle des Landes Berlin im Level of Detail 2 (LoD2). Die Grundrisse der Gebäudemodelle entsprechen genau den Gebäudeumringen, wie sie im Liegenschaftskataster nachgewiesen sind. Die Dachform eines Gebäudemodells entspricht einer generalisierten Standarddachform."Quelle: Geoportal BerlinVerarbeitungsprozesse: CityGML Dateien wurden mit ArcGIS Pro als Multipatch in einer FGDB importiert, nach Web Mercator projiziert und in ArcGIS Online veröffentlicht.

The Digital Basic Landscape Model (ATKIS Base DLM) is a digital, object-structured vector dataset. It determines the topographical objects of the real world by location and shape, names and characteristics. Furthermore, object-related material data are linked in such a way that the database can be used in a GIS application. In order to achieve a nationwide content uniformity of the data, the basic DLM is defined by means of an object type catalog derived from the AAA application scheme (ATKIS-OK Basic DLM), which contains regulations on the content and modelling of topographic information for the AdV basic data base and the country solutions. In addition to the objects of the object category groups ‘Siedlung’, ‘Transport’, ‘Vegetation’, ‘Waters’, ‘Administrative territorial units’ and ‘Relief Forms’, the contents also include structures and facilities on settlement areas and for traffic, as well as specific information on the waters. The position accuracy for the main linear objects (road axes, road axes, railway lines and water axes) is ± 3 m. When using a database, the ATKIS data can be submitted either completely or as user-related inventory data update (NBA) according to the customer’s desired time cycles. The data is provided free of charge via automated procedures or by self-collection. When using the data, the license conditions must be observed.

Business Analyst Buffers Layer

See full Data Guide here. Connecticut Parcels for Protected Open Space Mapping is a polygon feature-based layer that includes basic parcel-level information for some towns in Connecticut. This 2009 parcel layer includes information provided by individual municipalities. These parcel data are incomplete and out of date. The accuracy, currency and completeness of the data reflect the content of the data at the time DEEP acquired the data from the individual municipalities. Attribute information is comprised of values such as town name and map lot block number. These data are not updated by CT DEEP and should only be used as a general reference. Critical decisions involving parcel-level information should be based on more recently acquired information from the respective municipalities. These parcels are not to be considered legal boundaries such as boundaries determined from certain classified survey maps or deed descriptions. Parcel boundaries shown in this layer are based on information from municipalities used for property tax purposes. Largely due to differences in horizontal accuracy among various data layers, do not expect these parcel boundaries to line up exactly with or be properly postioned relative to features shown on other layers available from CT DEEP such as scanned USGS topography quadrangle maps, roads, hydrography, town boundaries, and even orthophotograpy.

The data in the parcel layer was obtained from individual Connecticut municipalities. An effort was made to collect data once from each municipality. The data acquisition date for each set of municipally-supplied parcel data was not recorded and CT DEEP does not keep this information up-to-date. Consequently, these data are out-of-date, incomplete and do not reflect the current state of property ownership in these municipalities. These parcels are not to be considered legal boundaries such as boundaries determined from certain classified survey maps or deed descriptions. Parcel boundaries shown in this layer are based on information from municipalities used for property tax purposes. Parcel boundaries and attribute information have not been updated in this layer since the time the information was originally acquired by CT DEEP. For example, property boundaries are incorrect where subdivisions have occurred. Also, field attribute values are populated only if the information was supplied to CT DEEP. For example, parcels in some towns lack location (street name) information or possibly map lot block values. Therefore, field attributes are inconsistent, may include gaps, and do not represent complete sets of values among all towns. They should not be compared and analyzed across towns. It is emphasized that critical decisions involving parcel-level information be based on more recently obtained information from the respective municipalities. These data are only suitable for general reference purposes. Be cautious when using these data. Many Connecticut municipalities provide access to more up-to-date and more detailed property ownership information on the Internet. This dataset includes parcel information for the following towns: Andover, Ansonia, Ashford, Avon, Beacon Falls, Berlin, Bethany, Bethel, Bethlehem, Bloomfield, Bolton, Branford, Bridgewater, Brookfield, Brooklyn, Canaan, Canterbury, Canton, Chaplin, Cheshire, Chester, Clinton, Colchester, Colebrook, Columbia, Cornwall, Coventry, Cromwell, Danbury, Darien, Deep River, Derby, East Granby, East Haddam, East Hampton, East Hartford, East Lyme, East Windsor, Eastford, Ellington, Enfield, Essex, Farmington, Franklin, Glastonbury, Granby, Greenwich, Griswold, Groton, Guilford, Haddam, Hamden, Hartford, Hebron, Kent, Killingly, Killingworth, Lebanon, Ledyard, Lisbon, Litchfield, Lyme, Madison, Manchester, Mansfield, Marlborough, Meriden, Middlebury, Middlefield, Middletown, Milford, Monroe, Montville, Morris, New Britain, New Canaan, New Hartford, New Haven, New London, New Milford, Newington, Newtown, Norfolk, North Branford, North Canaan, North Haven, North Stonington, Norwalk, Norwich, Old Lyme, Old Saybrook, Orange, Oxford, Plainfield, Plainville, Plymouth, Pomfret, Portland, Preston, Prospect, Putnam, Redding, Rocky Hill, Roxbury, Salem, Salisbury, Scotland, Seymour, Sharon, Shelton, Sherman, Simsbury, Somers, South Windsor, Southbury, Southington, Sprague, Stamford, Sterling, Stonington, Stratford, Suffield, Thomaston, Tolland, Torrington, Union, Vernon, Voluntown, Wallingford, Warren, Washington, Waterbury, Waterford, Watertown, West Hartford, West Haven, Westbrook, Westport, Wethersfield, Willington, Wilton, Winchester, Windsor, Windsor Locks, Wolcott, Woodbridge, Woodbury, and Woodstock. For additional information on the Protected Open Space Mapping project, contact the Department of Energy and Environmental Protection, Division of Land Acquisition and Management at 860-424-3016.

The Digital Basic Landscape Model (ATKIS Base DLM) is a digital, object-structured vector dataset. It determines the topographical objects of the real world by location and shape, names and characteristics. Furthermore, object-related material data are linked in such a way that the database can be used in a GIS application. In order to achieve a nationwide content uniformity of the data, the basic DLM is defined by means of an object type catalog derived from the AAA application scheme (ATKIS-OK Basic DLM), which contains regulations on the content and modelling of topographic information for the AdV basic data base and the country solutions. In addition to the objects of the object category groups ‘Siedlung’, ‘Transport’, ‘Vegetation’, ‘Waters’, ‘Administrative territorial units’ and ‘Relief Forms’, the contents also include structures and facilities on settlement areas and for traffic, as well as specific information on the waters. The position accuracy for the main linear objects (road axes, road axes, railway lines and water axes) is ± 3 m. When using a database, the ATKIS data can be submitted either completely or as user-related inventory data update (NBA) according to the customer’s desired time cycles. The data is provided free of charge via automated procedures or by self-collection. When using the data, the license conditions must be observed.

The city of Nürnberg (as many cities) recorded war damage on paper maps during WWII, using cadastral base maps. This dataset provides a vectorised representation of the 1942 cadastral map with building footprints as basic geo-features. These are enriched with data from thematic maps on heritage values and war damage.

Version 1 contains:

• The QGIS Project file
• A Geopackage file with the building footprint geometry layer, “Gebaeude_Nuernberg_Altstadt_V1”. On this layer the thematic information from the maps has been added as attribute values. Every building footprint feature has one value per attribute. Which means that in places where a building footprint contains more than one categorisation on a map this model only has the value of the most prominent categorisation. This reduction will be changed in later versions of the geopackage.
  There are also several layers without geometries. These hold the categorisation information from the historical maps, “Legend_X_265”. Additionally, the “Source_Overview” layer links map sources and attributes in the geometry layer.

Citation:

Please Cite the War Damage Atlas alongside the Dataset:

Enss, Carmen M. Atlas Kriegsschadenskarten Deutschland: Stadtkartierung und Heritage Making Im Wiederaufbau Um 1945. 1st ed. Basel/Berlin/Boston: Walter de Gruyter GmbH, 2023.

The inventory of dams in Germany contains information on name, date of construction, the start of operation, state, river, dam height, crest length, lake area, lake volume, purpose of the dam, dam type, building characteristics, and coordinates. The inventory is a zip-file composed of 3 tab-delimited files and 1 shapefile. The shapefile contains all 530 dams with all 15 columns and can be opened with every GIS program. The geographic coordinate system used is WGS 1984. The file 2020-005_Speckhann-et-al_Dams_in_Germany_v.1.0.txt has the same information as the shapefile, i.e. contains 530 dams with the same 15 columns and it is delimitated using tab. The 2020-005_Speckhann-et-al_Abreviation.txt file contains 4 different tables which presents every abbreviation used at the inventory. The abbreviations were used for several applications: dam building characteristics, purpose of the dams, German states, and dam’s type. They were separated in 4 different tables (Building characteristics, Purpose, States and Type). The Building Characteristics are related to the structural formation of the dams, for example embankment dam is listed as “EDD”. All abbreviations regarding the building characteristics of the dam can be visualized at Table 2 at the Data description. The Purpose of the dams was divided into 8 categories: energy production, flood control, recreational use, water supply, industrial and agricultural water supply, fishing, transport and nature protection. At the inventory there are multi-purposes dams and single-purposes dams, i.e. a dam might have more than one purpose. The States in Germany were also abbreviated at the inventory using 2 letters. Due to no observed entries at the inventory for Berlin, Bremen and Hamburg, those states are not shown at Table 4. The types of dams were also abbreviated. 2020-005_Speckhann-et-al_Source_v.1.0.txt contains the name of every dam and the main source used for the obtention of the information. .

See full Data Guide here. This layer includes polygon features that depict protected open space for towns of the Protected Open Space Mapping (POSM) project, which is administered by the Connecticut Department of Energy and Environmental Protection, Land Acquisition and Management. Only parcels that meet the criteria of protected open space as defined in the POSM project are in this layer. Protected open space is defined as: (1) Land or interest in land acquired for the permanent protection of natural features of the state's landscape or essential habitat for endangered or threatened species; or (2) Land or an interest in land acquired to permanently support and sustain non-facility-based outdoor recreation, forestry and fishery activities, or other wildlife or natural resource conservation or preservation activities. Includes protected open space data for the towns of Andover, Ansonia, Ashford, Avon, Beacon Falls, Canaan, Clinton, Berlin, Bethany, Bethel, Bethlehem, Bloomfield, Bridgewater, Bolton, Brookfield, Brooklyn, Canterbury, Canton, Chaplin, Cheshire, Colchester, Colebrook, Columbia, Cornwall, Coventry, Cromwell, Danbury, Derby, East Granby, East Haddam, East Hampton, East Hartford, East Windsor, Eastford, Ellington, Enfield, Essex, Farmington, Franklin, Glastonbury, Goshen, Granby, Griswold, Groton, Guilford, Haddam, Hampton, Hartford, Hebron, Kent, Killingworth, Lebanon, Ledyard, Lisbon, Litchfield, Madison, Manchester, Mansfield, Marlborough, Meriden, Middlebury, Middlefield, Middletown, Monroe, Montville, Morris, New Britain, New Canaan, New Fairfield, New Milford, New Hartford, Newington, Newtown, Norfolk, North, Norwich, Preston, Ridgefield, Shelton, Stonington, Oxford, Plainfield, Plainville, Pomfret, Portland, Prospect, Putnam, Redding, Rocky Hill, Roxbury, Salem, Salisbury, Scotland, Seymour, Sharon, Sherman, Simsbury, Somers, South Windsor, Southbury, Southington, Sprague, Sterling, Suffield, Thomaston, Thompson, Tolland, Torrington, Union, Vernon, Wallingford, Windham, Warren, Washington, Waterbury, Watertown, West Hartford, Westbrook, Weston, Wethersfield, Willington, Wilton, Windsor, Windsor Locks, Wolcott, Woodbridge, Woodbury, and Woodstock. Additional towns are added to this list as they are completed. The layer is based on information from various sources collected and compiled during the period from March 2005 through the present. These sources include but are not limited to municipal Assessor's records (the Assessor's database, hard copy maps and deeds) and existing digital parcel data. The layer represents conditions as of the date of research at each city or town hall. The Protected Open Space layer includes the parcel shape (geometry), a project-specific parcel ID based on the Town and Town Assessor's lot numbering system, and system-defined (automatically generated) fields. The Protected Open Space layer has an accompanying table containing more detailed information about each feature (parcel). This table is called Protected Open Space Dat, and can be joined to Protected Open Space in ArcMap using the parcel ID (PAR_ID) field. Detailed information in the Protected Open Space Data attribute table includes the Assessor's Map, Block and Lot numbers (the Assessor's parcel identification numbering system), the official name of the parcel (such as the park or forest name if it has one), address and owner information, the deed volume and page numbers, survey information, open space type, the unique parcel ID number (Par_ID), comments collected by researchers during city/town hall visits, and acreage. This layer does not include parcels that do not meet the definition of open space as defined above. Features are stored as polygons that represent the best available locational information, and are "best fit" to the land base available for each. The Connecticut Department of Environmental Protection's (CTDEP) Permanently Protected Open Space Phase Mapping Project Phase 1 (Protected Open Space Phase1) layer

OpenStreetMap ist ein im Jahre 2004 gegründetes Projekt mit dem Ziel, eine freie Weltkarte zu erschaffen. Wir sammeln weltweit Daten über Straßen, Eisenbahnen, Flüsse, Wälder, Häuser und alles andere, was gemeinhin auf Karten zu sehen ist. Weil wir die Daten selbst erheben und nicht aus existierenden Karten abmalen, haben wir selbst auch alle Rechte daran. Die OpenStreetMap-Daten darf jeder lizenzkostenfrei einsetzen und beliebig weiterverarbeiten. Dieser Datensatz enthält den Berliner Ausschnitt aus dem Planet File. Weitere Formate wie OSM-XML, shapefiles, SVG,Adobe Illustrator, Garmin GPS, GPX, GML, KML, Manifold GIS, Rastergrafiken können unter http://wiki.openstreetmap.org/wiki/Export exportiert werden.

Fragen zu den OpenStreetMap-Daten können hier diskutiert werden: http://forum.openstreetmap.org/viewforum.php?id=14

Download .zipThis file contains the data used by the Division of Wildlife for the construction of lake maps. Data was collected in the Ohio State Plane Coordinate System for both the northern and southern state planes in the Lambert Projection Zone. Except for the lakes in extreme western Ohio which is in UTM zone 16N the majority of lakes are in UTM zone 17N and datum NAD83. Data were collected by the Ohio Division of Wildlife using a Trimble GPS Pathfinder Pro XRS receiver and Recon datalogger. Geocoding of depths typically occurred during water levels that were ± 60 cm of full recreational pool while transversing the reservoir at 100m intervals driving at a vessel speed of 2.0-2.5 m/s. Depth contour lines were derived by creating a raster file from the point bathymetry and boundary lake data. ArcGIS Spatial Analyst Interpolation tool outputs point data that is then changed into polyline contours using the Spatial Analyst Surface tool. Additional details on the digitizing process are available upon request.Contact Information:GIS Support, ODNR GIS ServicesOhio Department of Natural ResourcesDivision of Wildlife2045 Morse Rd, Bldg G-2Columbus, OH, 43229Telephone: 614-265-6462Email: gis.support@dnr.ohio.gov