SRAI: Towards Standardization of Geospatial AI

1 code implementation • 19 Oct 2023 • Piotr Gramacki, Kacper Leśniara, Kamil Raczycki, Szymon Woźniak, Marcin Przymus, Piotr Szymański

Spatial Representations for Artificial Intelligence (srai) is a Python library for working with geospatial data.

Predicting the Location of Bicycle-sharing Stations using OpenStreetMap Data

1 code implementation • 2 Nov 2021 • Kamil Raczycki

Planning the layout of bicycle-sharing stations is a complex process, especially in cities where bicycle sharing systems are just being implemented.

Decision Making Transfer Learning

Transfer Learning Approach to Bicycle-sharing Systems' Station Location Planning using OpenStreetMap Data

1 code implementation • 1 Nov 2021 • Kamil Raczycki, Piotr Szymański

Bicycle-sharing systems (BSS) have become a daily reality for many citizens of larger, wealthier cities in developed regions.

Decision Making Layout Design +1

Spatial Data Mining of Public Transport Incidents reported in Social Media

1 code implementation • 11 Oct 2021 • Kamil Raczycki, Marcin Szymański, Yahor Yeliseyenka, Piotr Szymański, Tomasz Kajdanowicz

We successfully build an information type classifier for social media posts, detect stop names in posts, and relate them to GPS coordinates, obtaining a spatial understanding of long-term aggregated phenomena.