Sentence examples for geospatial data analysis from inspiring English sources

IGIS will assist in applied research and extension activities that rely on geospatial data, analysis and display.

Robert is a retired associate professor in geospatial data analysis, from the University of Nottingham, and Margaret is a recently retired psychological wellbeing practitioner, and former occupational therapist, who has carried out clinical audits of mental health practice.

Images acquired in laboratory with variable texture and SOM were processed using means of geospatial data analysis based computer vision algorithm.

The study presents a procedure to overcome existing limitations by using coarse spatial resolution NOAA-AVHRR (Advanced Very High Resolution Radiometer) data within a framework of combined multitemporal imagery and fuzzy-logic based geospatial data analysis.

This is from the AAG legal background paper: "If this claim prevails, it could affect not only GIS but also other mapping activities, potentially including GIS field data collection, internet mapping activities, geospatial data analysis, remote sensing, cartographic services, and map creation of almost any type.

Scientific workflows have been commonly used in geospatial data analysis and Cyberinfrastructure.

Demands for a broad range of integrated geospatial data-analysis tools and methods for planetary data organization have been growing considerably since the late 1990s when a plethora of missions equipped with new instruments entered planetary orbits or landed on the surface.

In particular, he seeks to provide them with innovative ways of accessing geospatial data and analysis tools that will create beneficial management outcomes.

As a spatial data scientist, I am always thinking about mapping, and the ways in which geospatial data and analysis plays an increasingly critical role in disaster notification, monitoring, and response.

We are looking for a highly specialized academic who will provide vision and leadership on geospatial data resources, analysis and visualization that will serve multiple scientific constituencies at the state and national level.

The evaluation of national UIS focused on four aspects, namely, the characteristics of geospatial data, openness, analysis functions for the measurement of the SDG indicators, and applied geospatial standards (Table 1).