Public trust in the media and in data has been undercut by information overload, relentless social media cycles, and targeted influence campaigns. Whether driven by politics, social movements, or ...

Remotely sensed geospatial data are critical for applications including precision agriculture, urban planning, disaster monitoring and response, and climate change research, among others. Deep ...

R has become a popular and powerful platform for working with geospatial data due to its well-developed ecosystem of packages to import, process, analyze and visualize spatial data, strong integration ...

Successfully built a crop yield prediction system using advanced machine learning in R, which leverages agro-environmental, soil, and weather data to forecast agricultural yield (in tons per hectare).

Posit’s ggbot2 is a voice assistant for ggplot2. Tell it what you want in a spoken conversation, and it will generate plots and ggplot2 R code from your data. Typing questions into a chatbot is nice, ...

In the dynamic fields of urban planning and climate science, Esri, the world’s leading geographic information system (GIS) software provider, is pioneering how cities use data to confront urgent ...

Tsukuba, Japan—Data visualization has emerged as a powerful tool for enabling data-driven decision-making across diverse domains, including business, medicine, and scientific research. However, no ...

The identification and visualization of functional elements within biological sequences offers visual presentation for biologists to integrate annotation, and also helps them to produce high-quality ...