The authors find that contemporary GIS research increasingly integrates spatial statistics, modeling, and simulation to move ...

Location data is critical to nearly all state and local government work — whether it’s responding to a public safety call, supporting community planning and development, or maintaining critical ...

Geospatial technologies are increasingly reshaping the educational landscape by integrating digital mapping, spatial analysis and interactive visualisation into curricula. These tools empower ...

Spatial data generalisation is a critical process in cartography and geographic information science, enabling the simplification of complex geospatial datasets while retaining essential structural and ...

With record-breaking temperatures across the South, smoke from Canadian wildfires across the North, historic flooding in the Northeast and a powerful hurricane in the Southeast, the summer of 2023 has ...

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 ...

PangeAI is targeting today's geospatial intelligence market, worth around $100 billion, where expert-driven, manually prepared projects still dominate. The startup is initially focusing on verticals ...

Geospatial data has the potential to revolutionize investment decision-making by providing investors with insights into the spatial dynamics of different markets and assets. Traditional data can be ...

Map out a future career in GIS. 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 ...

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 ...

Open Maps For Europe 2 (OME2) has published the final version of its high-value pan-European geospatial data prototype, significantly broadening the scope and usability of authoritative mapping data ...

Unmanned aerial vehicles (UAVs), commonly known as drones, have revolutionized spatial data collection in recent years by offering flexible, low-cost platforms for aerial imagery and remote sensing.