Portfolio item number 1
Short description of portfolio item number 1
Posts by Collection
portfolio
Portfolio item number 2
Short description of portfolio item number 2
publications
Paper Title Number 3
Published in Journal 1, 2015
This paper is about the number 3. The number 4 is left for future work.
Recommended citation: Your Name, You. (2015). "Paper Title Number 3." Journal 1. 1(3). http://academicpages.github.io/files/paper3.pdf
software
OSMnx - Retrieve Point of Interest (POI) data -functionalities
Published:
osmnx is an open source Python project and one of the core libraries in Python for retrieving and working with OpenStreetMap data.
osmnx lets you download geospatial data from OpenStreetMap and model, project, visualize, and analyze real-world street networks and any other geospatial geometries. I contributed to osmnx by adding features to extract Point of Interest data from the OpenStreetMap data. Since these contributions (in 2018), the library has evolved and there is a new API design to fetch geometries of any type with specific tags.
geopandas sjoin_nearest() method
Published:
GeoPandas is an open source Python project and one of the core libraries in Python for doing GIS and working with geospatial data. The goal of GeoPandas is to make working with geospatial data in Python easier. I have contributed to geopandas by prototyping and suggesting a new feature .sjoin_nearest(), read more below.
geopandas to_postgis() method
Published:
GeoPandas is an open source Python project and one of the core libraries in Python for doing GIS and working with geospatial data. The goal of GeoPandas is to make working with geospatial data in Python easier. I have contributed to geopandas by adding a new feature .to_postgis(), read more below.
pyrosm
Published:
pyrosm is an open source Python library for reading OpenStreetMap from Protocolbuffer Binary Format -files (*.osm.pbf) into Geopandas GeoDataFrames. Pyrosm makes it easy to extract various datasets from OpenStreetMap pbf-dumps including e.g. road networks, buildings, Points of Interest (POI), landuse, natural elements, administrative boundaries and much more. Fully customized queries are supported which makes it possible to parse any kind of data from OSM, even with more specific filters.
r5py
Published:
r5py is a Python wrapper for the R5 routing analysis engine. It allows users to generate detailed routing analyses or calculate travel time matrices using parallel computing, and integrates seamlessly with Python/Geopandas workflows. r5py is inspired by r5r, a wrapper for R, and is designed to interact with GeoPandas data frames. Similar to r5r, r5py represents a simple way to run R5 locally.
talks
Talk 1 on Relevant Topic in Your Field
Published:
This is a description of your talk, which is a markdown files that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
Published:
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Geo-Python
MSc course + MOOC (coming in 2023), Co-author & teacher on the course 2015-2018, University of Helsinki, 2018
Automating GIS processes
MSc course, Author & teacher of the course (2015-2018) , University of Helsinki, 2018
Spatial Analytics
MSc course, Author & teacher of the course (2021- ), Aalto University, 2022
Spatial Data Science for Sustainable Development
MSc course, Author & teacher of the course (2021- ), Aalto University, 2023
Book: Introduction to Python for Geographic Data Analysis
Textbook, in progress (estimated arrival in 2023), 2023
