This Collection supports and amplifies research related to SDG 13 - Climate Action. This Scientific Reports Collection welcomes original research on Geospatial data science and analysis. Narrative ...

Throughout any given year, the National Academies convene hundreds of conferences, workshops, symposia, forums, roundtables, and other gatherings that attract the finest minds in academia and the ...

What do environmental management, urban planning, public health and civil engineering all have in common? They use geospatial information science and technology to make important decisions. Geospatial ...

Yale will create a new Center for Geospatial Solutions (YCGS) to enhance the university’s research, training, and engagement infrastructure in the rapidly evolving areas of geospatial science, data, ...

Geospatial engineering combines principles of engineering, geography, and surveying to collect, analyze, and manage spatial data. Geospatial engineering involves surveying. Over time, the field of ...

The White House Council on Environmental Quality’s (CEQ’s) Climate and Economic Justice Screening Tool (CEJST) 1 is an example of a geospatial tool that calculates a composite indicator. A composite ...

An emerging issue in the field of geospatial data science is the imbalance between the abundance of freely available big datasets and the limited number of professionals trained to leverage them, ...

The professional M.S. in geospatial information science program provides students a path toward their future as GIS professionals in the natural and physical sciences, business, engineering, planning, ...

It’s a busy day anywhere in the world. You roll out of bed and grab your smartphone. You check a news website or a weather app or look up directions to an appointment. Most people don’t think about it ...

Data volumes continue to explode with the global “datasphere” – the total amount of data created, captured, replicated and consumed – growing at more than 20 percent a year to reach approximately 291 ...

Already using NumPy, Pandas, and Scikit-learn? Here are seven more powerful data wrangling tools that deserve a place in your toolkit. Python’s rich ecosystem of data science tools is a big draw for ...

Geospatial Data Science and Analysis applies data science to geographic information, integrating heterogeneous spatial datasets with advanced analytical methods. The field encompasses the acquisition, ...