GIS Data

This category contains introductory text about GIS data such as types of error in GIS datasets, types of GIS data (raster and vector), and metadata.

Pom-pom anemone on the Pacific Ocean floor off California.

Highly Detailed Seafloor Maps

Mark Altaweel

Researchers from MBARI have developed methods to map the ocean floor at incredibly high resolution.

Nukuhou coastal wetland. A tidal wetland with grey mangroves (Avicennia marina) and salt marsh threatened by sea level rise. At Ohiwa Harbor, North Island, New Zealand.

Mapping Coastal Ecosystem Change

Mark Altaweel

A collaboration initiative, called coastTrain, helps to provide data so that scientists can better address challenges coastal regions face.

A four-paneled diagram showing a vertical slice of a satellite imagery with forest damage, a second panel with land use change, a third panel symbolized to show the date of changes, and the fourth panel shows the magnitude of the change.

Mapping Long-term Land Use Change with Remote Sensing Data

Mark Altaweel

Discover how remote sensing technology is used to map land use changes, providing valuable insights into environmental impacts and aiding conservation efforts.

Examples of topological errors in GIS that can occur during data creation/digitization. Image: Caitlin Dempsey

GIS Data: A Look at Accuracy, Precision, and Types of Errors

GIS Contributor

What are the types of error found in GIS data? This article reviews the difference between accuracy and precision and explains the most common types of error found in GIS data.

A remote sensing image showing surface temperatures across a section of Paris. The hottest temperatures are in red and the coolest temperatures are in green.

Mapping Heat Vulnerability from Satellite Data

Mark Altaweel

Satellites are being used to measure heat not only on urban heat islands, but also on farms and other locations where rising temperatures are having an impact.