digitalplanning_indicators

https://github.com/ivan-cardenas/digitalplanning_indicators

Science Score: 67.0%

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CITATION.cff file
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codemeta.json file
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.zenodo.json file
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DOI references
Found 3 DOI reference(s) in README
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Links to: zenodo.org
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Scientific vocabulary similarity
Low similarity (12.6%) to scientific vocabulary

Last synced: 10 months ago · JSON representation ·

Repository

Basic Info

Host: GitHub
Owner: ivan-cardenas
License: other
Language: TeX
Default Branch: main
Size: 1.21 MB

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Created about 1 year ago · Last pushed 12 months ago

Metadata Files

Readme License Citation

📊Cross sectoral digital planning Drinking Water-Urban Heat-Housing Provision indicators dataset

📝 Description

This repository provides a comprehensive dataset designed to support research and analysis at the intersection of drinking water supply, urban heat stress, and housing provision. The dataset includes two main components:

📂 Relational Database:
A structured database of indicators across the three urban sectors.
📚 Bibliographic Information:
References for all source papers used to extract the indicators.

📦 Data Contents

1️⃣ Relational Database

The database is available in three formats to support different user needs:

🏢 Microsoft Access (.accdb): For Access users.
🧩 SQL (.sql): For use with other relational database systems.
📊 OpenDocument Spreadsheet (.ods): For users more comfortable with spreadsheets.

⚠️ All formats contain identical data and structure.

The database consists of several tables (see Table 1 in the documentation) and is organized with primary and foreign key relationships as shown in Figure 1 (schema).

2️⃣ Bibliographic Information

A file containing all source references (in CSV, BibTeX, or both formats).
Links each indicator to the literature from which it was derived.

🚀 Usage

Download your preferred database format from the Releases or the Zenodo Archive.
Use your preferred tool (e.g., Access, SQL manager, spreadsheet editor) to explore the data.
Refer to the documentation for table descriptions and relationships.
Explore the bibliographic file to review the scientific basis for each indicator.

💡 Value of the Data

🔄 Enables cross-sector analysis of urban systems.
🏙️ Supports evidence-based decision making in planning and policy.
📈 Facilitates longitudinal studies and benchmarking.
🔬 Encourages reproducibility and transparency in research.

📌 Citation

If you use this dataset, please cite: ~~~ @misc{Cardenas-LeonUrbanIndicatorsDataset, author = {Cardenas-Leon, Ivan and Nourian, Pirouz and Koeva, Mila and Pfeffer, Karin}, title = {{Urban Indicators Dataset: Drinking Water, Urban Heat, and Housing Provision}}, url = {https://github.com/ivan-cardenas/DigitalPlanningIndicators/} }

~~~

📜 License

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

Owner

Login: ivan-cardenas
Kind: user

Repositories: 1
Profile: https://github.com/ivan-cardenas

Citation (CITATION.cff)

# This CITATION.cff file was generated with cffinit.
# Visit https://bit.ly/cffinit to generate yours today!

cff-version: 1.2.0
title: >-
  Urban Indicators Dataset: Drinking Water, Urban Heat, and
  Housing Provision
message: >-
  If you use this dataset, please cite it using the metadata
  from this file.
type: dataset
authors:
  - given-names: Ivan
    family-names: Cardenas-Leon
    email: i.l.cardenasleon@utwente.nl
    affiliation: >-
      Department of Urban and Regional Planning and
      Geo-Information Management, Faculty of Geo-Information
      Science and Earth Observation (ITC), University of
      Twente, Hallenweg 8, Enschede, 7522 NH, Overijssel,
      Netherlands
    orcid: 'https://orcid.org/0009-0005-0245-633X'
  - given-names: Pirouz
    family-names: Nourian
    email: p.nourian@utwente.nl
    affiliation: >-
      Department of Urban and Regional Planning and
      Geo-Information Management, Faculty of Geo-Information
      Science and Earth Observation (ITC), University of
      Twente, Hallenweg 8, Enschede, 7522 NH, Overijssel,
      Netherlands
    orcid: 'https://orcid.org/0000-0002-3817-7931'
  - given-names: Mila
    family-names: Koeva
    email: m.n.koeva@utwente.nl
    affiliation: >-
      Department of Urban and Regional Planning and
      Geo-Information Management, Faculty of Geo-Information
      Science and Earth Observation (ITC), University of
      Twente, Hallenweg 8, Enschede, 7522 NH, Overijssel,
      Netherlands
    orcid: 'https://orcid.org/0000-0001-7612-5270'
  - given-names: Karin
    family-names: Pfeffer
    email: k.pfeffer@utwente.nl
    affiliation: >-
      Department of Urban and Regional Planning and
      Geo-Information Management, Faculty of Geo-Information
      Science and Earth Observation (ITC), University of
      Twente, Hallenweg 8, Enschede, 7522 NH, Overijssel,
      Netherlands
    orcid: 'https://orcid.org/0000-0002-6080-1323'
identifiers:
  - type: doi
    value: 10.5281/zenodo.1003150
repository-code: >-
  https://github.com/ivan-cardenas/DigitalPlanning_Indicators/
url: 'https://ivan-cardenas.github.io/PapersData/DataPaper.html'
abstract: >-
  This dataset paper presents a comprehensive compilation of
  indicators covering three major domains: drinking water
  supply, urban heat, and housing provision. The data were
  systematically collected from a wide range of
  peer-reviewed papers to ensure a robust foundation for
  both academic research and practical policy analysis. The
  dataset includes a total of 280 indicators, each
  categorized and described. The indicators are organized
  into a relational database format, which allows for easy
  access and manipulation. The dataset was collected to
  facilitate cross-sectoral analysis, enabling researchers
  and practitioners to explore the interconnections between
  these critical areas of urban planning.


  The key indicators are described with clear definitions,
  calculations, and provenance information. Additionally,
  the dataset is organized in a relational SQL database,
  allowing users to perform advanced queries, join
  operations, and custom analyses. Potential applications
  span a variety of research areas, such as urban planning,
  environmental impact assessment, public health, and
  socio-economic studies.
keywords:
  - Urban indicators
  - Drinking water supply
  - Urban Heat Stress
  - Housing Provision
  - Integrated planning
  - Data-driven policy
  - Spatial Planning
license: CC-BY-NC-SA-4.0

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