Environmental Data Platform
No abstract provided
osf.io/gnvp2
The filtering feature of this layer allows to identify specific aspects from the knowledge base related to research on Occupant Behaviour Modelling table (*). Such as the following attributes: - Occupant presence or actions: 1. Appliance use 2. Clothing adjustment 3. Lighting operation 4. Presence 5. Shading operation 6. Thermostat adjustment 7. Window operation - Building use: 1. Office building 2. Office building (university) 3. Residential building 4. Educational building 5. Commercial building 6. Hotel 7. District 8. General purpose 9. Outdoors In addition, the entries referred to the following type of building, which could be filtered as part of the referred table (*): 1. Natural ventilation 2. Mechanical ventilation 2. Mechanical heating + Natural ventilation 3. Mechanical heating and cooling 4. Mechanical cooling 5. Mechanical heating and cooling and natural ventilation
Global, features, OBM_v02
Not Specified: The original author did not specify a license.
| Eurac Research - Center for Sensing Solutions |
| andrea.vianello@eurac.edu |
| Bolzano, ITA |
| Eurac Research - Center for Sensing Solutions |
| andrea.vianello@eurac.edu |
| Bolzano, ITA |
4326 (4326:EPSG)
| Name | Description | Link | Date published | Category |
|---|---|---|---|---|
| Maps web services URLs | Here you can find all the available web service URLs provided by Maps, to consume datasets through an interoperable client (QGIS, Python, etc.) or to develop codes for analysis. The most relevant services to access datasets are: WMS (Web Map Service) to visualize layers in a map and to query them); WFS (Web Feature Service) or WCS (Web Coverage Service) to download raw datsets and use them for deep analysis or transformation. | Link | Dec. 13, 2021 | Maps |
| maps.eurac.edu documentation | maps.eurac.edu is based on Geonode, here the link to the official documentation | Link | April 28, 2021 | Maps |
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