• Documentation
  • Core API
  • SmartOpenHamburg API
  • Model Components API
  • Common API

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    • MARS DSL Language
    • MARS Runtime System
      • Getting started with MARS
      • Basic Concepts
        • Multi-Agent-Simulation
        • Agents
        • Layers
        • Entities
        • Environments
          • SpatialHashEnvironment
          • GeoHashEnvironment
          • SpatialGraphEnvironment
          • CollisionEnvironment
        • Model Setup
      • Model Configuration
        • Agent and Entity Configuration
        • Layer Configuration
        • Output Filter
        • Simulation Configuration Options
        • Simulation Output Formats
      • Data Sources
        • Geospatial Data Sources
        • Geospatial Data Types
        • ASCII grid (.asc)
        • CSV
        • Time-series Data
      • Analysis and Visualization
        • Visualizing Agent Movement Trajectories
        • Simple Live Visualization
        • Analyzing Output Data
      • Tutorials
        • Creating a new MARS C# project
        • Creating a starting point for your model
        • Creating vector and raster layer files
        • Building your first model (wolf-sheep-grass)
        • Common problems and solutions
        • Acquire geo data for layers
        • Build and start your model in Kubernetes cluster
    • SmartOpenHamburg
      • Quick Start
      • Ready to use scenarios (boxes)
        • Ferry Transfer
        • Green4Bikes
        • Results
        • Result Schemas
      • Layer
        • Multimodal Layer
        • Modal Layer
        • Scheduling Layer
        • Vector Layer
      • Agents
        • Behaviour Model
        • Multimodal
        • Multi-Capable
        • Multi-Modality
        • Citizen
        • Traveler
      • Entities
        • Referencing
        • Street Vehicles
        • Bicycle Vehicles
        • Ferry

    Geospatial Data

    Geospatial data object containing a spatial reference in the form of coordinates. Often these are geocoordinate with the coordinate reference system srid:EPSG:4326.


    Obtaining useful Data

    A useful resource for geospatial data about Hamburg is GeoPortal. (Other cities/countries have their own agencies, such as the Federal Office of Statistics, that provide local, geospatial data). Follow these steps to obtain raster- and vector-layer data at Geoportal Hamburg:

    1. Click on Themen → Fachdaten
    2. From the list, choose the type of information you wish to obtain raster- or vector-data on and click the information icon next to it.
    3. In the info card that pops up click on WMS address if available.
    4. If not available, then click on Weitere Metadaten. This will forward you to metaver.de (MetadatenVerbund).
      1. On Metaver, click on one of the links under Verweise or Weitere Verweise.
    5. You will be directed to a site that contains an XML document. Copy the site's URL and paste it into QGIS to display the geodata.

    Prepare Data

    LIFE can consume multiple geospatial data format such as GeoJSON (*.geojson), GeoPackage (*.gpgk), GraphML (*.graphml) or ESRI Shapefile (*.shp) as for vector layers, or Raster CSV (*.csv), ASCII Grid (*.asc) for raster-layer.

    To prepare non-conforming geospatial data for your model, you can convert it with QGIS as a useful public GIS processing tool.

    1. Download and install QGIS.
    2. Load your geospatial data into the QGIS application. This will produce one or more layer(s) in the Layer window (bottom left).
    3. Export the layer by opening the context-entries and selecting Export.
    4. Select an appropriate format, mentioned above or described here.
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