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Following that is @tadusko presenting his work on the rise and fall of Flickr and use of its data in #GIScience at the #LBS2025 conference.

Key takeaway is that #Flickr is highly biased data produced in the Global North by a select few highly active users, but widely used in research because it is the only major social media platform that still allows data collection using its API. The question remains whether the data should be used.

Brilliant work all in all!

A quick illustrative #map on the implications of using different types of centroids in regional #demography #mobility and #migration studies.

Think about what you are emphasizing.

By using population-weighted centroids, you can emphasize the population perspective in the analysis instead of the geometry, potentially improving your analysis considerably. The distance difference is stronger in sparsely populated and remote regions.

I have struggled with many IDEs with their lack of good integration of interactive #Python.

VSCode and its derivatives are nice, but they do not play ball with my workflow. I can get what I want to work only partially, and it is much slower than my current workflow. Running one line at a time in an interactive window is excruciating.

Isn't it common in #DataScience and #GIScience to have an interactive workflow with a lot of back and forth reiterations with multiple line executions?

Has any of my #GIS #GIScience #paikkatieto colleagues bought the Finnish #SeutuData dataset? It is the "sequel" to the OG #SeutuCD data from past years.

I am thinking about the costs and resolution of the data. The original SeutuCD had population count level on the level of buildings, which we're after as we're looking at a current transport hot topic in #Helsinki and wonder whether we should acquire the data. The description of the newer data does not contain this information.

Hey #geography community on #Mastodon!

The 19th Conference on Location Based Services (LBS) will be held in Espoo, Finland from May 7th to 9th, 2025.

There are several topics in the conference ranging from big data analysis, ubiquitous positioning and context modelling to location privacy and digital humanities.

The call for papers is open!

Full paper DL 01.11.2024
Abstract DL 01.02.2025
Showcase DL 15.02.2025

lbs2025.lbsconference.org/

lbs2025.lbsconference.orgWelcome to LBS 2025 — LBS 2025

Hey, do you want to work in #research #science and have a knack for coordinating projects?

Become my colleague and come work at the @digigeolab at the University of Helsinki as a project coordinator.

Our research group is a talented and fun bunch of people doing research in #geography, #GIScience, #mobility, and #conservation.

Deadline for applications is next sunday, so apply fast if you're interested!

jobs.helsinki.fi/job/Helsinki-

jobs.helsinki.fiResearch Coordinator / Project PlannerResearch Coordinator / Project Planner
#work#job#työ

Excited to go to #MobileTartu to present the things we've been up to in @digigeolab when it comes to regional mobility.

I'm presenting our on-going work examining changes in long-distance commuting in Europe during 2012-2022 using big social media and Labour Force Survey data.

Still some figures need to be finalized, but I am looking forward to the conference. Anybody else from the fedi #geography #giscience and #geospatial community in #MobileTartu2024?

Wow! 🥳🎊 I received a copy of a book we wrote a chapter for with @tuomo and Hanna-Mari Pienimäki.

It's one thing to see one's own work published on a website, but another feeling when you can hold it in your hand.

If you're interested in #multilingualism #sociolinguistics #UrbanStudies and #LinguisticLandscapes check out this book. Relevant also for #UrbanGeography #HumanGeography #GIScience and #multimodality 🤓

The #OpenAccess book is available here: oa.finlit.fi/site/books/e/10.2

New paper with David Rey-Blanco, @pelayoarbues, and Fernando Lopez presents an open data product with real estate values for three major Spanish markets in 2018: Madrid (n = 94,815), Barcelona (n = 61,486), and Valencia (n = 33,622).

The dataset is available as an #Rstats #package here:

paezha.github.io/idealista18/

Big thank you to @darribas for shepherding this manuscript from submission to publication.

#gischat #GIScience #RealEstate #data #OpenScience

doi.org/10.1177/23998083241242

paezha.github.ioIdealista 2018 Data PackageOpen data product with real estate listings from Idealista. The datasets are for year 2018 and three major cities in Spain: Barcelona, Madrid, and Valencia.