Crowdsourced street-level imagery can be used to detect and map humanitarian-relevant features in near real time. We have developed a machine-learning-based analytical pipeline that integrates with the open-source imagery catalogue Panoramax to support a more flexible disaster response and urban monitoring, especially in underserved regions. This blog article was originally posted on Medium by Macjej […]| HeiGIT
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 of serotype incidence, but there remains a gap in utilizing VA tools for dynamic and inte...| HeiGIT
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 of serotype incidence, but there remains a gap in utilizing VA tools for dynamic and inte...| GIScience Blog
The newly released Sketch Map Tool v2.1 features a higher accuracy in digitizing hand-sketched markings on Sketch Maps, thanks to a larger training dataset and an updated machine learning model for sketch detection. New user metrics show that thousands of Sketch Maps are created every month all over the world.| GIScience Blog
