Disclaimer: The explanation provided on this website (Hotmaps Wiki) are indicative and for research purposes only. No responsibility is taken for the accuracy of the provided information, explanations and figures or for using them for unintended purposes.
Data privacy: By clicking OK below, you accept that this website may use cookies.
This module generates raster files both for a heat density and a gross floor area density map in the format required by the Hotmaps toolbox. The input data is provided in the form of a CSV file containing information on location, gross floor area and heat demand for each single building to be taken into account.
This module generates both a heat density and a gross floor area density map in the form of raster files. The input to the module is a CSV file with certain column headers. It should contain the following data: the X- and the Y-coordinate of the centre of the buildings in EPSG:3035 coordinate reference system, the gross floor area and the annual heat demand of the buildings. The generated raster files follow required projection and resolution by the Hotmaps toolbox and therefore, can easily be uploaded to the user accounts.
This module is only available as a stand-alone module; it is not integrated in the online version of the Hotmaps toolbox. The users of this CM should be familiar with python programming and have installed required libraries (e.g. Numpy, Pandas, GeoPandas and GDAL).
Inputs
The module accepts a CSV file as input. The following headers are expected in case of any of the input file types (should be available in the header of the CSV file):
Important Note: The headers should be written as stated above. Otherwise, the code will break and returns an error.
Outputs
As output, two raster files are generated:
To visualize an own raster file in the Hotmaps toolbox, it should respect the rules defined by the toolbox. Generally, a raster should:
Based on the above criteria and coordinates given in the input CSV file, each input coordinate is allocated to a certain pixel. Entries allocated to one single pixel are aggregated. The bottom-left pixel and top-right pixel determine the extent of the pixel. The resolution of the map is 100x100m. Accordingly, a heat density map and gross floor area map is generated.
Here you get the bleeding-edge development for this calculation module.
Mostafa Fallahnejad, in Hotmaps-Wiki, CM Customized heat and gross floor area density maps (September 2020)
This page was written by Mostafa Fallahnejad (EEG - TU Wien).
☑ This page was reviewed by Marcul Hummel (e-think).
Copyright © 2016-2020: Mostafa Fallahnejad
Creative Commons Attribution 4.0 International License
This work is licensed under a Creative Commons CC BY 4.0 International License.
SPDX-License-Identifier: CC-BY-4.0
License-Text: https://spdx.org/licenses/CC-BY-4.0.html
We would like to convey our deepest appreciation to the Horizon 2020 Hotmaps Project (Grant Agreement number 723677), which provided the funding to carry out the present investigation.
View in another language:
* machine translated
Last edited by fallahnejad, 2021-01-13 09:48:53