Geospatial visualisation solution software is a type of software that enables users to create, display, and interact with geospatial data in a visual format. This can include maps, 3D models, and other visualisations that help users better understand and analyse spatial data.
Some key features of geospatial visualisation solution software include the ability to display and manipulate data in various formats, such as maps, charts, and graphs, as well as the ability to add layers of data, create custom visualisations, and share visualisations with others.
It can help users better understand and analyse spatial data, leading to better decision-making and improved outcomes. It can also help to identify patterns and trends in data that may not be immediately apparent in raw data.
A wide range of data can be visualised using geospatial visualisation solution software, including satellite imagery, aerial photography, LiDAR data, GIS data, and other types of spatially referenced data.
Geospatial visualisation solution software is used by a wide range of industries and sectors, including government agencies, research institutions, engineering and environmental consulting firms, and private companies in industries such as transportation, energy, and natural resources.
There are several popular geospatial visualisation solution software options available, including ArcGIS, QGIS, Mapbox, Google Earth, and Tableau.
Some best practices for using geospatial visualisation solution software effectively include ensuring data accuracy and completeness, using appropriate visualisation techniques for the data being displayed, using clear and concise labelling, and testing visualisations with users to ensure they are effective.
It can be used to support decision-making by providing a clear and understandable visual representation of data that can help users identify patterns, trends, and relationships that may not be immediately apparent in raw data. This can enable more informed and data-driven decision-making.