Open access tools and data

Everyday urban environment (urbArki-2009)

Project: Open participatory mapping data

The softGIS team led by professor Marketta Kyttä at Aalto University is determined to publish their datasets online for further use for research, pratcice related, and educational purposes. All datasets will be anonymized using the team’s own novel anonymization algorithms to protect sensitive data and comply with GDPR, while maintaining the overal data quality (learn more). The team’s plan is to publish PPGIS data from past and future projects on a rolling basis to their dedicated community of Zenodo.

This dataset is collected as part of the Urban Everyday (Urbaani Arki, 2009) project and includes the following information: Home locations, everyday errand points, suggestion points, and appeal points.

ActiveAge data (AAGE-2015)

Project: Open participatory mapping data

The softGIS team led by professor Marketta Kyttä at Aalto University is determined to publish their datasets online for further use for research, pratcice related, and educational purposes. All datasets will be anonymized using the team’s own novel anonymization algorithms to protect sensitive data and comply with GDPR, while maintaining the overal data quality (learn more). The team’s plan is to publish PPGIS data from past and future projects on a rolling basis to their dedicated community of Zenodo.

This dataset is collected as part of the ActiveAge project (2015) and includes the following information: Home locations, everyday errand points, and happy places.

Urban Happiness (urbOnni-2009)

Project: Open participatory mapping data

The softGIS team led by professor Marketta Kyttä at Aalto University is determined to publish their datasets online for further use for research, pratcice related, and educational purposes. All datasets will be anonymized using the team’s own novel anonymization algorithms to protect sensitive data and comply with GDPR, while maintaining the overal data quality (learn more). The team’s plan is to publish PPGIS data from past and future projects on a rolling basis to their dedicated community of Zenodo.

This dataset is collected as part of the Urban Happiness project (2009) and includes the following information: Home locations, everyday errand points, Helsinki experience points, and Espoo experience points.

Data: PPGIS survey collected across 13 study sites in ten European countries in 2015-16

Project: Mapping perceived ecosystem service benefits in multifunctional landscapes across Europe

This data set includes responses to a PPGIS survey collected across 13 study sites in ten European countries in 2015-16. Metadata and download link: urn.fi/urn:nbn:fi:att:2fc777d5-e7f0-4efd-9560-5bfd292fed73

Data relates to publications:

Plieninger, T., Torralba, M., Hartel, T. & Fagerholm, N. (2019). Perceived ecosystem services synergies, trade-offs, and bundles in European high nature value farming landscapes. Landscape Ecology 34 (7), 1565-1581. doi.org/10.1007/s10980-019-00775-1

Fagerholm, N., Torralba, M., Moreno, G., Girardello, M., Herzog, F., Aviron, S., Burgess. P., Crous, J., Ferreiro-Domínguez, N., Graves, A., Hartel, T., Măcicăsan, V., Kay, S., Pantera, A., Varga, A. & Plieninger, T. (2019). Cross-site analysis of perceived ecosystem service benefits in multifunctional landscapes. Global Environmental Change 56, 134-147. doi.org/10.1016/j.gloenvcha.2019.04.002

Fagerholm, N., Martín‐López, B., Torralba, M., Oteros‐Rozas, E., Lechner, A.M., Bieling, C., Stahl Olafsson, A., Albert, C., Raymond, C.M., Garcia‐Martin, M., Gulsrud, N., & Plieninger, T. (2020). Perceived contributions of multifunctional landscapes to human well‐being: Evidence from 13 European sites. People and Nature, 2, 217-234. doi.org/10.1002/pan3.10067

 

IASM: Individualized activity space modeler

Project: Health promoting urban environment (PLAN-H)

Researchers from various disciplines have long been interested in analyzing and describing human mobility patterns. Activity space (AS), defined as an area encapsulating daily human mobility and activities, has been at the center of this interest. However, given the applied nature of research in this field and the complexity that advanced geographical modeling can pose to its users, the proposed models remain simplistic and inaccurate in many cases. Individualized Activity Space Modeler (IASM) is a geographic information system (GIS) toolbox, written in Python programming language using ESRI’s Arcpy module, comprising four tools aiming to facilitate the use of advanced activity space models in empirical research. IASM provides individual-based and context-sensitive tools to estimate home range distances, delineate activity spaces, and model place exposures using individualized geographical data. In this paper, we describe the design and functionality of IASM, and provide an example of how it performs on a spatial dataset collected through an online map-based survey.

Link to article

Participatory Mapping Institute
Copyright 2020