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Workshop SDAP 2023 - Spatial data analysis in practice

In this workshop, presenters show the results of their projects using spatial data analysis techniques applied to different fields of research.

Tid: Ti 2023-03-21 kl 08.00 - 13.00

Plats: Lounge, Teknikringen 10B


Workshop - Spatial Data Analysis in Practice (pdf 578 kB)

Time Name Project
08:00 - 08:20 Adria Carbonell
Living Together-Apart: Density and Centrality as Measures of a Distributive Urbanity
08:20 - 08:40 Matilde Kautsky Density of public primary schoolyards and their context - a case study in Stockholm
08:40 - 09:00 Morten Frisch Cell Phone Network data, accuracy and socioeconomic bias.
09:00 - 09:20 Jörgen Larsson Am investigation between the dip angles and the shear strength of rock joints using a Bayesian regression model
09:20 - 09:40 Qi Zhang Spatial-temporal pattern of arrival delays in urban bus network in Stockholm
09:40 - 10:00 Chen Feng Places avoided by residents in Stockholm during the COVID-19 pandemic
10:00 - 10:20 Matt Davoudizavareh & Peter Nezval Modeling and Analysis of Spatial Patterns in Cycling Data: Correlating Socio-Demographics and Weather with Trip Distance and Duration
10:20 - 10:40 Tommaso Piseddu Flood risk and real estate prices: the case of the Oxunda river
10:40 - 11:00 Vadim Leonov Identifying high-risk regions and natural foci of tularemia using spatial and space-time statistics
11:00 - 11:40 Break
11:40 -12:00 Boel Berg Wincent Factors affecting shared e-scooter ridership
12:00 - 12:20 Jacob Hassler Spatio-temporal analysis in health care. Comparison of population distribution from static and dynamic data in hospital catchment areas
12:20 - 12:40 Jonatan Abraham The dynamics of fear of crime: using safety surveys to explore spatio-temporal patterns of risk perception
12:40 - 13:00 Ioannis Ioannidis

Distribution of outdoor violent crimes in Stockholm Sweden. A spatio-temporal cluster analysis


Tillhör: Skolan för arkitektur och samhällsbyggnad (ABE)
Senast ändrad: 2023-03-16