30, Website for the Introduction to Python for Geographic Data Analysis textbook, Jupyter Notebook Improved geometry parsing for relations. Pyrosm makes it easy to extract various datasets from OpenStreetMap pbf-dumps including e.g. pyrosm is an open source Python library for reading OpenStreetMap from Protocolbuffer Binary Format -files (*.osm.pbf) into Geopandas GeoDataFrames. Available as Ebook in here. GeoPandas is an open source Python project and one of the core libraries in Python for doing GIS and working with geospatial data. Interested in advancing GIScience for sustainable development. This note will be visible to only you. You can find more information about these libraries below, as well as about what has been my role in them. various routing engines such as OpenTripPlanner. Henrikki Tenkanen - Google Scholar according the General Transit Feed Specification. Tenkanen, H., E. Di Minin, V. Heikinheimo, A. Hausmann, M. Herbst, L. Kajala & T. Toivonen (2017). Franklin, Beedle & Associates. See. 13 Organisation and participation in conferences, workshops, courses, seminars; 10 Oral presentation; 5 . We read every piece of feedback, and take your input very seriously. This package is still in a Beta-phase, so use it at your own risk. work in general (without ad-hoc modifications). Lecture Geo-Python 2017 Autumn documentation - GitHub Pages GitHub - HTenkanen/transx2gtfs: A Python library to convert transit # Specify parameters (read data in json format). I contributed to osmnx by adding features to extract Point of Interest data from the OpenStreetMap data. HTenkanen/pyrosm: v.0.5.0 | Zenodo It allows users to generate detailed routing analyses or calculate travel time matrices using parallel computing, and integrates seamlessly with Python/Geopandas workflows. You switched accounts on another tab or window. Take a look at the Activities Activities per year 2012 2015 2016 2017 2020. Biography Henrikki is a visiting postdoc at UCL with background in geography and GIS. OSMnx - Retrieve Point of Interest (POI) data -functionalities. Retrieving data from Web Feature Service (WFS) Contents: Introduce OGC WFS. Assistant Professor & Academy Research Fellow @ Aalto University. The goal of GeoPandas is to make working with geospatial data in Python easier. On these pages, I share primarily work-related content and news. include appropriate tests (crucial for maintenance). Dr. Henrikki Tenkanen Assistant Professor, Geoinformation Technology, Aalto University Follow Helsinki / Espoo, Finland Aalto University Website Email Twitter Github Google Scholar ORCID Software I have created and contributed to a few open source scientific libraries for Python programming language. Geosciences and Geography, University of Helsinki, Biological Sciences, University of KwaZulu-Natal, Professor Environmental Spatial Analysis, VU University Amsterdam, Vrije Universiteit; Swiss Federal, Researcher, Finnish Environment Institute, Global protected area expansion is compromised by projected land-use and parochialism, Instagram, Flickr, or Twitter: Assessing the usability of social media data for visitor monitoring in protected areas, Social media data can be used to understand tourists preferences for naturebased experiences in protected areas, Social media data for conservation science: A methodological overview, Prospects and challenges for social media data in conservation science, User-generated geographic information for visitor monitoring in a national park: A comparison of social media data and visitor survey, Understanding the use of urban green spaces from user-generated geographic information, Dynamic cities: Location-based accessibility modelling as a function of time, Machine learning for tracking illegal wildlife trade on social media, Social media reveal that charismatic species are not the main attractor of ecotourists to sub-Saharan protected areas, A framework for investigating illegal wildlife trade on social media with machine learning, Health research needs more comprehensive accessibility measures: integrating time and transport modes from open data, Comparing conventional and PPGIS approaches in measuring equality of access to urban aquatic environments, Enhancing spatial accuracy of mobile phone data using multi-temporal dasymetric interpolation, Understanding sentiment of national park visitors from social media data, Assessing global popularity and threats to Important Bird and Biodiversity Areas using social media data, Exploring the linguistic landscape of geotagged social media content in urban environments, Longitudinal spatial dataset on travel times and distances by different travel modes in Helsinki Region, Seasonal fluctuation of riverine navigation and accessibility in Western Amazonia: an analysis combining a cost-efficient GPS-based observation system and interviews, Joukkoliikenteell, autolla ja kvellen: avoin saavutettavuusaineisto pkaupunkiseudulla. Henrikki Tenkanen, University of Helsinki @ AutoGIS channel on Youtube. Many Git commands accept both tag and branch names, so creating this branch may cause unexpected behavior. Recommended textbooks and online resources: Zelle, J. The package is available at PyPi and you can install it with: Library works and is being tested with Python versions 3.6, 3.7 and 3.8. Prize: Prizes and awards. Seehttps://geo-python.github.ioandhttps://autogis.github.io. However, after testing many of them, it was hard to find a tool that would: Hence, this Python package was written which aims at meeting the aforementioned requirements. (CC BY 4.0), "http://geo.stat.fi/geoserver/tilastointialueet/wfs". v0.5.0. Much of the material in the first part of the book draft is very similar to that in this course, but in case you are interested we invite you to have a look at the latest draft of the book at https://python-gis-book.readthedocs.io/en/latest/. Publications and projects within past five years. 11, Course material for the course Automating GIS processes at the University of Helsinki, Finland, Python osmnx is an open source Python project and one of the core libraries in Python for retrieving and working with OpenStreetMap data. Les articles suivants sont fusionns dans GoogleScholar. Educator @Automating-GIS-processes & @geo-python - HTenkanen See, . YKR Basegrid for Helsinki Capital Region. Copyright 2020-2022, Henrikki Tenkanen, Vuokko Heikinheimo, David Whipp. 62 A tag already exists with the provided branch name. Adds a function to download PBF data from Geofabrik and BBBike easily from hundreds of locations across the world. At Aalto, I am a member of Geoinformatics Research group, and I lead the GIST Lab that advances research, teaching and open-source scientific software development around a variety of topics, such as: I am part of the development team of the open source library r5py for multimodal spatial network analysis in Python; and I have created pyrosm, a small Python package to extract geospatial information from OpenStreetMap dump files. Henrikki Tenkanen University of Helsinki Read OpenStreetMap data from Protobuf files into GeoDataFrame with Python, faster. Learn Python the Hard Way Free sample of the book is available on the webpage. Veuillez ressayer plus tard. 122: Github Google Scholar ORCID About Hello, and welcome to my personal website! 9, Python Open-Source Ecosystem for GIS and Earth Observation, Python Dave Whipp & Henrikki Tenkanen, University of Helsinki @ Geo-Python channel on Youtube.. Contents: Henrikki Tenkanen | The Geospatial Analytics and Computing - UCL Assistant Professor of Geoinformation Technology at Aalto University. Lecture Lesson 1.1 - Introduction to Python GIS; Installing modules with conda AutoGIS Lesson 1.1 - Intro to Python GIS; Installing Python packages Share Watch on Henrikki Tenkanen, University of Helsinki @ AutoGIS channel on Youtube. (2017) Python Programming: An Introduction to Computer Science, Third edition. I have authored and maintain a bunch of educational materials targeted for Python users including four openly available online courses and one text book. Trajectory reconstruction and analysis tool (TRAT), MDF-interpolation-tool (permalink for citing), MetropAccess-Reititin (public transport routing), MetropAccess-Digiroad (private car routing), Manuscript (added once article is published). 2, Rapid Realistic Routing with R5 in Python, Python Henrikki Tenkanen. Publications - Henrikki Tenkanen Project: Foundations (Private Foundations, Non-Profit Foundations, Charitable Trusts). International Journal of Geographical Information Science. You can also find Henrikki's latest publications on, https://www.researchgate.net/profile/Henrikki_Tenkanen, https://fi.linkedin.com/in/henrikki-tenkanen-1060867b, University College London,Gower Street,London,WC1E 6BTTel:+44(0)20 7679 2000. Tenkanen, H., V. Heikinheimo, O. Jrv, M. Salonen, & T. Toivonen. Enhancing spatial accuracy of mobile phone data using multi-temporal dasymetric interpolation. Henrikki has actively developed methodologies and tools for studying dynamic accessibility patterns, observing the spatial mobility of people, and understanding the social context associated with places using various digital data sources such as GPS, mobile phone, and social media data, transportation schedules, etc. r5py is inspired by r5r, a wrapper for R, and is designed to interact with GeoPandas data frames. (data standard in UK) into a widely used GTFS -format that can be used with work with different TransXChange schema versions. If you find an issue, you can contribute and parse all important information from the TransXChange according GTFS specification. Educator. 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. Used for educational purposes. Helsinki Institute of Sustainability Science (HELSUS), Helsinki Institute of Urban and Regional Studies (Urbaria), Doctoral Programme in Interdisciplinary Environmental Sciences, Measuring just accessibility within planetary boundaries, A 24-hour population distribution dataset based on mobile phone data from Helsinki Metropolitan Area, Finland, Detecting country of residence from social media data: a comparison of methods. International Journal of Geographical Information Science DOI: 10.1080/13658816.2017.1287369. 30 Please don't include any personal information such as legal names or email addresses. I have contributed to geopandas by adding a new feature .to_postgis(), read more below. Sorry, this file is invalid so it cannot be displayed. This package is still in a Beta-phase, so use it at your own risk. The course consists of lectures, tutorials and weekly exercises. This course uses a wide range of sources for course information and the main textbooks are given below. You signed in with another tab or window. Useful books and sites - Read the Docs Works and tested against different TransXchange schemas (TfL schema and TXC 2.1). I am currently an Assistant Professor of Geoinformation Technology at the Department of Built Environment, Aalto University (Finland). Retrieving data from Web Feature Service (WFS) - Read the Docs Instagram, Twitter or Flickr: Assessing the usability of social media data for visitor monitoring in protected areas. that uses the Oak Ridge National Laboratory's LandScan population database. Henrikki TENKANEN | Professor (Assistant) | PhD | Aalto University Henrikki Tenkanen, Assistant Professor, at Aalto University A map projection (or a projected coordinate system) is a systematic transformation of the latitudes and longitudes into a plain surface where units are quite commonly represented as meters (instead of decimal degrees). Health research needs more comprehensive accessibility measures: integrating time and transport modes from open data. Zenodo. Software Carpentry's . Dataset collected from GTFS-RT feed provided by Helsinki Region Transport. Henrikki is also a keen Python educator, and he has developed openly available online courses to learn programming and doing GIS-with Python programming language. Git + Github tutorials# Online "Try-Git" tutorial (learn Git in your browser) Git simple guide ("no deep shit") tutorial. Lesson 7.3 - Final assignment instructions pyrosm/LICENSE at master HTenkanen/pyrosm GitHub HTenkanen's gists GitHub #Open Python GIS author & educator: htenkanen.org/teaching Helsinki, Finland htenkanen.org Joined June 2013 1,423 Following 1,847 Followers Tweets Replies Media Pinned Tweet Use OWSLib to get capabilities of WFS API. Fully customized queries are supported which makes it possible to parse any kind of data from OSM, even with more specific filters. Note! Tenkanen, H., P. Saarsalmi, O. Jrv, M. Salonen & T. Toivonen (2016). Online Learning Resources: Python GeoPandas Dynamic cities: Spatial accessibility as a function of time. Spatial accessibility and mobility analysis related to sustainable urban development and mobility, Understanding human activities in natural and urban environments based on user-generated content, such as social media data, Sustainable use of water resources and the design of water resources policies. Combines multiple TransXchange files into a single GTFS feed if present in the same folder. Lesson 1.2 - Geometric objects; Spatial data model; shapely -module AutoGIS Lesson 1.2 - Geometric objects; Shapely They have kindly made the course material freely available to everyone. help solving them by raising an issue. Dr. Henrikki Tenkanen Assistant Professor, Geoinformation Technology, Aalto University Follow Helsinki / Espoo, Finland Aalto University Website Email Twitter Github Google Scholar ORCID OSMnx - Retrieve Point of Interest (POI) data -functionalities Published:January 01, 2018 McKinney, W. (2017) Python for Data Analysis: Data wrangling with Pandas, NumPy and iPython, Second edition. Powered by Pure, Scopus & Elsevier Fingerprint Engine 2023 Elsevier B.V. We use cookies to help provide and enhance our service and tailor content. Test Helsinki Region Travel Time Matrix data for year 2018. https://gist.github.com/HTenkanen/3b214be899f0d3885bad48577de48150#gistcomment-3187471, Learn more about bidirectional Unicode characters, from_id,to_id,walk_t,walk_d,bike_s_t,bike_f_t,bike_d,pt_r_tt,pt_r_t,pt_r_d,pt_m_tt,pt_m_t,pt_m_d,car_r_t,car_r_d,car_m_t,car_m_d,car_sl_d, 5778014,5961891,-1,-1,124,78,30399,-1,-1,-1,-1,-1,-1,58,-1,51,-1,30, 5778014,5963631,-1,-1,129,82,30081,-1,-1,-1,-1,-1,-1,54,-1,48,-1,30, 5778014,5975375,-1,-1,127,80,31551,-1,-1,-1,-1,-1,-1,60,-1,54,-1,31, 5778015,5961891,-1,-1,124,78,30399,-1,-1,-1,-1,-1,-1,58,-1,51,-1,30, 5778015,5963631,-1,-1,129,82,30081,-1,-1,-1,-1,-1,-1,54,-1,48,-1,30, 5778015,5975375,-1,-1,127,80,31551,-1,-1,-1,-1,-1,-1,60,-1,54,-1,31, 5778016,5961891,-1,-1,135,85,32962,-1,-1,-1,-1,-1,-1,65,-1,56,-1,34, 5778016,5963631,-1,-1,141,89,33191,-1,-1,-1,-1,-1,-1,60,-1,54,-1,34. & Tenkanen, H. Tenkanen, H. (Creator), Heikinheimo, V. (Contributor), Salonen, M. P. (Contributor) & Toivonen, T. (Contributor), Accessibility Research Group, Sep 2015, DOI: 10.13140/RG.2.1.1901.3201, http://blogs.helsinki.fi/accessibility/helsinki-region-travel-time-matrix/, Tenkanen, H. (Creator), Heikinheimo, V. (Contributor), Salonen, M. P. (Contributor) & Toivonen, T. (Contributor), Accessibility Research Group, 2015, DOI: 10.13140/RG.2.1.2601.0648, http://blogs.helsinki.fi/accessibility/travel-co2-matrix/, Toivonen, T. (Creator), Salonen, M. (Creator) & Tenkanen, H. (Creator), Department of geosciences and geography, 1 Apr 2014, http://blogs.helsinki.fi/accessibility/data/metropaccess-travel-time-matrix/, Tenkanen, Henrikki (Recipient), 3 Dec 2014, Tenkanen, Henrikki (Recipient), 7 Feb 2017, Tenkanen, Henrikki (Recipient), 4 Nov 2014, Repo, Joona (Recipient), Piiroinen, Rami Tapio (Recipient) & Tenkanen, Henrikki (Recipient), 4 Apr 2017, Tuuli Toivonen (Supervisor), Petteri Muukkonen (Supervisor) & Henrikki Tenkanen (Co-supervisor), Activity: Examination types Supervision of other thesis (Master's, Licentiate), Tuuli Toivonen (Chair of organizing committee), Elias Willberg (Secretary of organizing committee), Olle Jrv (Member of organizing committee), Henrikki Tenkanen (Member of organizing committee), Kerli Mrisepp (Member of organizing committee), Vuokko Vilhelmiina Heikinheimo (Member of organizing committee) & Christoph Fink (Member of organizing committee), Activity: Participating in or organising an event types Organisation and participation in conferences, workshops, courses, seminars, Olle Jrv (Supervisor), Tuuli Kaarina Toivonen (Supervisor) & Henrikki Toivo Olavi Tenkanen (Supervisor), Activity: Publication peer-review and editorial work types Peer review of manuscripts, Enrico Di Minin, Christoph Alexander Fink, Tuomo Hiippala & Henrikki Toivo Olavi Tenkanen. Assistant Professor of Geoinformation Technology at Aalto University. 258 Contact GitHub support about this users behavior. Henrikki Tenkanen (@tenkahen) / Twitter He got his PhD from the University of Helsinki in 2017, and his current research focuses on multimodal spatio-temporal accessibility modelling and mobility analytics. If you are looking for an introduction to geospatial analysis in Python, I cannot recommend this course enough. Henrikki is also a keen Python educator, and he has developed openly available online courses to learn programming and doing GIS-with Python programming language. We read every piece of feedback, and take your input very seriously. in DigitalGeographyLab 212, Site for "Spatial Data Science for Sustainable Development" course at the Dept. There are numerous TransXChange to GTFS converters written in different programming languages. Codecademys Learn to program in Python, Software Carpentrys programming in Python, Online Try-Git tutorial (learn Git in your browser), Git simple guide (no deep shit) tutorial, Software Carpentrys Git novice tutorial, Screencast series in Youtube for learning GitHub, Tutorial on few extra features of GitHub not (most probably) covered in this course (e.g. Learn more about blocking users. . The 6 top-ranked models, for each of the three response variables, describing the use of social media in protected areas are summarized in Table 1.The most important variables affecting social media usage across all models were HDI, accessibility, population density and the mean vegetation cover (Fig. You switched accounts on another tab or window. A tag already exists with the provided branch name. Retrieve data to geopandas. The exercises will focus on applying the introduced SDS methods to given sustainability related problem, and writing short essays about the given sustainability . Lesson 7.2 - Network analysis and routing in Python; Osmnx and Networkx -packages AutoGIS Lesson 7.2 - Network analysis in Python; Networkx; Osmnx; Watch on Henrikki Tenkanen, University of Helsinki @ AutoGIS channel on Youtube. If you made any changes in Pure these will be visible here soon. 24. Henrikki Tenkanen. Repo, Joona (Recipient), Piiroinen, Rami Tapio (Recipient) & Tenkanen, Henrikki (Recipient), 4 Apr 2017. Les, Le dcompte "Cite par" inclut les citations des articles suivants dans GoogleScholar. You can read more about them from projects -section. 2).The country-level HDI was the strongest predictor, with coefficients up to four . Seasonal fluctuation of riverine navigation and accessibility in Western Amazonia: An analysis combining a cost-efficient GPS-based observation system and interviews. The goal of GeoPandas is to make working with geospatial data in Python easier. 5 following Aalto University Helsinki https://htenkanen.org @tenkahen Achievements x2 x3 Beta Send feedback Block or Report Pinned pyrosm Public Read OpenStreetMap data from Protobuf files into GeoDataFrame with Python, faster. This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. Henrikki Tenkanen, Vuokko Heikinheimo, and David Whipp (all current or past course teachers) are working on a textbook that is based on the Geo-Python and Automating GIS processes courses. Open data for accessibility and travel time analyses: Helsinki Region Travel Time and CO2 Matrix. branch, pull-request, merge), A TechCrunch article about What is GitHub Anyway?, A list of resources for learning Git and GitHub. Repository for documenting all the tools, scripts and workflows part of the PhD dissertation: Henrikki Tenkanen (2017) "Capturing time in space - Dynamic analysis of accessibility and mobility to support spatial planning using open data and tools" - GitHub - HTenkanen/PhD-thesis: Repository for documenting all the tools, scripts and workflows part of the PhD dissertation: Henrikki Tenkanen . Copyright 2016-2022, D. Whipp, H. Tenkanen, V. Heikinheimo, H. Aagesen, and C. Fink, Department of Geosciences and Geography, University of Helsinki. Comparing spatial data sources for cycling studies a review, Chapter in Book/Report/Conference proceeding, Introduction to Python for Geographic Data Analysis, Foundations (Private Foundations, Non-Profit Foundations, Charitable Trusts), Science workshops on novel and open data sources and approaches to study urban accessibility and mobility / NECTAR 2019 conference, Social media data for Conservation science, MetropAccess: Analysing the changing accessibility and mobility in urban context using open access data and tools, http://blogs.helsinki.fi/accessibility/helsinki-region-travel-time-matrix/, http://blogs.helsinki.fi/accessibility/travel-co2-matrix/, MetropAccess - Helsinki Region Travel Time Matrix, Apps4Finland haastepalkinto: Pkaupunkiseudun data, Organisation and participation in conferences, workshops, courses, seminars, Supervision of other thesis (Master's, Licentiate), 15th biennial NECTAR conference: Towards Human Scale Cities - Open and Happy, Participating in or organising an event types, MSc thesis supervision of Claudia Bergroth - Uncovering population dynamics using mobile phone data: The case of Helsinki metropolitan area, Journal of Environmental Management (Journal), Publication peer-review and editorial work types, Merikarvia -lehti haastattelu / juttu: Uteliaisuus ja sitkeys palkitaan, Instagram an unlikely source of keeping park visitor stats, Instagram the key to revealing Table Mountains visitor numbers. A Python library to convert transit data from TransXchange into GTFS -format. # Create GeoDataFrame from geojson and set coordinate reference system, # Prepare data for writing to various file formats, Quickly getting started (without installing Python), Introduction to geographic data objects in Python, Introduction to spatial data analysis with geopandas, Preparing GeoDataFrames from geographic data, Introduction to raster processing with Python, Raster operations between multiple layers, Retrieving data from Web Feature Service (WFS), Inverse Distance Weighting interpolation with Python, Multimodal spatial accessibility analysis with Python, Interpreting topographic features from raster data. Python 277 30 Python-GIS-book / site Public GeoPandas is an open source Python project and one of the core libraries in Python for doing GIS and working with geospatial data. Me and my colleagues are working on various research and educational projects. You can read more about these from teaching -section. I have created and contributed to a few open source scientific libraries for Python programming language. In addition, I have contributed to some of the core Python libraries for geospatial analysis and computation, such as geopandas and osmnx. You signed in with another tab or window. North-West WingUCL Department of GeographyGower StreetLondonWC1E 6BT, For all enquiries, please contact richard.arnold@ucl.ac.uk, Henrikki is a visiting postdoc at UCL with background in geography and GIS. Course format Assistant Professor, Geoinformation Technology, Aalto University. Learn more about reporting abuse. HTenkanen has no activity r5py is a Python wrapper for the R5 routing analysis engine. Educator, This file has been truncated, but you can. yet for this period. About - Henrikki Tenkanen 76 About the authors Applied Geography 63, 273-282. . Lesson 2.4 - Exercise 1 review Coming .. Henrikki Tenkanen (@tenkahen) / Twitter Henrikki Tenkanen @tenkahen Asst Prof. of GeoIT @AaltoUniversity .