Mit dem „Geolinking Service SoRa“ steht ab sofort eine neue Forschungsdateninfrastruktur zur Verfügung. Der Service macht es möglich, Befragungsdaten aus den Sozialwissenschaften mit raumbezogenen Dat...

Could geography change your research conclusions? Join our free, 90-minute online seminar for PhD students, postdocs and researchers to explore why location, neighbourhood effects and territorial boundaries matter for rigorous social science. This guided, code-free showcase brings spatial thinking to life through finished maps, published studies and real examples of electoral behaviour, policy diffusion and place-based inequality. Discover when spatial analysis can strengthen your research—and see how R can serve as a complete Geographic Information System (GIS), not just a statistics tool. No coding experience or prior GIS knowledge is needed. Attend live via Zoom or watch the recording, with 30-day access to seminar materials and an expert-monitored Q&A forum, plus a certificate of completion. Take your first step beyond descriptive mapping and discover what geographic thinking could reveal in your research! #AppliedResearch #ComputationalSocialScience #DataAnalytics #DataScience #Economics #Geography #PoliticalScience #QuantitativeMethods #ResearchMethods #Scientificprogramming #SocialSciences #SpatialData #Statistics #PublicPolicy #Sociology #R #Research #ResearchTraining #Instats

For years, anyone who worked with geospatial data learned to live with a certain amount of pain. Publishing a dataset meant standing up servers, maintaining...

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AbstractMass spectrometry imaging (MSI) is now a routine modality for spatial molecular profiling and is increasingly combined with histology, multiplexed imaging, and spatial transcriptomics to build richer descriptions of tissue than any single technique can provide. The conceptual case for this multimodal paradigm was settled a decade ago, but the data infrastructure needed to operationalize it at scale has not kept up. Vendor binaries and the imzML exchange format keep MSI outside the OME-NGFF, Zarr, and SpatialData stacks on which the rest of spatial omics has converged, leaving each new experiment to rebuild ad hoc converters from scratch. Here, we present Thyra, an open-source Python library that converts raw vendor and imzML MSI data directly into the SpatialData format. A two-pass streaming sparse matrix engine writes the spectral matrix straight into the output Zarr store, keeping peak memory bounded near 200 MB regardless of data set size and supporting 100+ GB acquisitions. On a representative mouse brain MALDI data set, this yields three- to 4-fold storage reductions and an order-of-magnitude improvement in m/z range query latency, the bottleneck for ion image generation. Once converted, MSI data are directly composable with the scverse analysis ecosystem; we quantify this with an scverse readiness benchmark in which spatial autocorrelation, pixel clustering, and neighborhood enrichment, all standard operations in spatial transcriptomics, run as a one-liner on the converted object. A brief exploratory analysis of a skin biopsy from a psoriasis patient illustrates the analytical surface that the unified container exposes.

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Our annual conference will be held this year on October 2nd and 3rd, 2026. This conference is one of CGA’s signature events, attracting spatial researchers and practitioners from across campus and around the globe. Our 2026 conference will be no exception, except for one key detail: it will also be our 20th birthday!

A premium blog exploring geospatial technology, satellite imagery analysis, and GIS applications. Bridging science and technology.

Geographic data are everywhere in political and social research, but how can we move from mapping patterns to making credible causal claims? This online seminar for PhD students, postdoctoral researchers, and professional researchers introduces practical strategies for causal analysis with spatial data, focusing on distance-based modelling and geographic regression discontinuity designs. Using fully worked examples in R, including international exposure and electoral participation in Madrid and the electoral impact of Madrid’s Low Emission Zone, participants will learn how to compute and interpret spatial distances and buffers, build regression models with spatial exposure measures, assess residuals and misspecification, construct signed running variables, estimate local treatment effects with rdrobust, and evaluate robustness through placebo tests and bandwidth checks. Taught by Fernando De la Cuesta (Universidad Complutense de Madrid / ECPR Methods School), the seminar is designed for researchers working with elections, policy borders, administrative boundaries, place-based interventions, or spatial exposure who want to strengthen their research design and produce more defensible, publishable empirical work. The seminar is delivered via Zoom, with recordings, materials, reusable R scripts, and Q&A forum access available for 30 days, plus an official Instats certificate of completion. #ComputationalSocialScience #DataScience #Geography #PoliticalScience #QuantitativeMethods #ResearchMethods #SocialSciences #SpatialData #Statistics #ggplot2 #GIS #PositCloud #R #Rmarkdown #RStudio #tidyverse #Research #ResearchTraining #Instats

South Carolina’s Aquatic Planning Tool maps and models impacts on freshwater species, aiding proactive conservation and climate adaptation.

A meetup and conference for users and developers of Free and Open Source Software for Geographical Information Systems - FOSS4G

🌲 Become a Sponsor of SilviLaser 2027! 🌍 We are pleased to invite companies and organizations to support SilviLaser 2027, one of the world’s leading conferences dedicated to forest remote sensing, sp...