Category: Publications
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New Paper “GeoDEN: A Visual Exploration Tool for Analyzing the Geographic Spread of Dengue Serotypes”
With the increasing availability of global disease datasets, Visual Analytics (VA) has emerged as a valuable tool in spatial epidemiology, particularly for studying serotype interactions in diseases like dengue. Dengue, caused by four serotypes (DENV1-DENV4), poses a significant global health threat exacerbated by urbanization and climate change. Traditional approaches rely on static mapping or animation…
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New Paper in Scientific Reports “Modeling Intraday Aedes-human exposure dynamics enhances dengue risk prediction”
Scientific Reports publishes a paper by Steffen Knoblauch et al. that underscores the critical importance of integrating vector ecology and human behavior into advanced disease modeling frameworks. The increasing availability of human movement data presents significant potential for tackling global public health challenges, especially in the context of infectious diseases. This is particularly important for…
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New Paper “AI-Generated Buildings in OpenStreetMap: Frequency of Use and Differences from Non-AI-Generated Buildings”
The concept of a “Digital Earth” has long envisioned a future where technological advancements enable the large-scale collection and visualization of spatial and environmental data. Today, open data sources such as OpenStreetMap (OSM) provide crucial spatial information for diverse applications, including urban planning, disaster management, and public health. However, many regions remain insufficiently mapped, particularly…
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New Paper “Crime-associated inequality in geographical access to education: Insights from the municipality of Rio de Janeiro”
To what extent does crime potentially inhibit geographical access to schools, measured by cumulative average travel time? Education is recognized globally as a fundamental human right and essential for promoting equality,eradicating poverty, reducing crime, and supporting sustainable development. Despite global progress, full educational access remains a challenge, particularly in highly criminal areas. The paper uses…
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New Paper “Geosocial Media’s Early Warning Capabilities Across US County-Level Political Clusters: Observational Study”
The novel coronavirus disease (COVID-19) generated significant health concerns worldwide, leading policymakers and health care experts to implement nonpharmaceutical public health interventions to mitigate the spread of the virus. While these interventions played a crucial role in controlling transmission, they also resulted in substantial economic and societal costs, necessitating strategic deployment, particularly during periods of…
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New paper “Leveraging geospatial data to evaluate women’s employment opportunities in the renewable energy sector”
The renewable energy (RE) sector is a cornerstone of global climate action, yet its workforce remains marked by gender inequality. Women are significantly underrepresented, often relegated to lower-paid, non-technical roles. Traditional analyses of this disparity frequently ignore the spatial dimensions that influence women’s employment opportunities—factors like public transportation access, safety, and neighborhood walkability. Addressing these…
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New Paper “Long-term validation of inner-urban mobility metrics derived from Twitter/X”
Data on mobility behavior can yield valuable insights that are beneficial for various applications such as public policy, emergency response, and urban planning. As the availability of freely-accessible mobility data is limited, the attention to X (formerly known as Twitter) as a data source has increased. Users of the platform can tag their online posts…
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New Paper: GeoAI for Science and the Science of GeoAI
GeoAI integrates AI, geospatial big data, and high-performance computing for solving data- and computation-intensive geospatial problems. This field has gained continuous momentum, driven by strong demands in geography and the rapid advancement of AI. Wenwen Li´s paper “GeoAI for Science and the Science of GeoAI”, published in the latest edition of the Journal of Spatial…
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New Paper: “UAV-Assisted Municipal Solid Waste Monitoring for Informed Disposal Decisions”
Solid waste pollution is the cause of many environmental and health risks, especially in areas where waste is generated in large quantities but cannot be properly disposed of. Knowledge of the size and location of dump sites is required to keep waste management efficient and low-cost. When the extent of these dump sites needs to…
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New Paper: “Enriching building function classification using Large Language Model embeddings of OpenStreetMap Tags”
Rapid global urbanization is placing immense pressure on planners to make informed decisions that promote sustainable growth. A crucial aspect of this challenge is understanding how urban buildings are used. Traditionally, classifying the function of buildings—such as residential or commercial—relies on costly and subjective on-site surveys. However, advances in AI are poised to transform this…
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New Paper in Nature ‘Scientific Reports’: „High-resolution Mapping of Urban Aedes Aegypti Immature Abundance Through Breeding Site Detection Based on Satellite and Street View Imagery“
Knoblauch, S; Su Yin, M.; Chatrinan, Krittin; Rocha, Antonio A. de A.; Haddawy, P.; Biljecki, F.; Lautenbach, S.; Resch, B.; Arifi, D.; Jänisch, T.; Morales, I.; and Zipf, A published the paper ‘High-resolution mapping of urban Aedes aegypti immature abundance through breeding site detection based on satellite and street view imagery’ in Nature Scientific Reports.…
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Deep learning with simulated laser scanning data for 3D point cloud classification
Esmorís, A.M., Weiser, H., Winiwarter, L., Cabaleiro, J.C. & Höfle, B. (2024): Deep learning with simulated laser scanning data for 3D point cloud classification. ISPRS Journal of Photogrammetry and Remote Sensing. Vol. 215, pp. 192-213. DOI: 10.1016/j.isprsjprs.2024.06.018 3D point clouds acquired by laser scanning are invaluable for the analysis of geographic phenomena. To extract information…