What is geospatial analysis?
Geographic Information System (GIS) is a software program that combines data that can be associated with geographical coordinates with tools and methods that can transform the information into a powerful analytical tool. GIS technology can propose many types of data, including demographic, statistical, topographic, urban infrastructures or weather -related data, to name at least some into maps and transform comprehensive data into useful information. Together with GIS software, data and methodologies, they connect and provide a technology called geo -space analysis.
Using geospatial analysis techniques, people have access to a powerful data modeling and decision -making tool. Geospatial analysis has hundreds of uses, including the management of wild animals, city planning, equipment management, fleet management, disaster planning, military operations, climate change modeling and many others. Types of geospatial analysis that can be done by the GIS program are almost nEomezené.
It is assumed that GIS and geospatial analytical technology was first used in the early 1960s. One of its first uses was to create an inventory of digital natural resources for Canada. Since then, its use has increased sharply, and there are thousands of different GIS packages and hundreds of GIS related companies on the market. One of the earlier applications of GIS and geospatial analysis was the management of wildlife. By designing data on the population of wild animals, vegetation data, human population data and other types of data on maps, officials of wildlife management can help determine whether a area can support the current population of wild animals.
Another example of how people use geo -analysis is the fleet management. Dispatchers can use this technology to determine the closestHo available driver for specific delivery. They can use the operation of insertions, street maps, construction data, and other information that provides directing information or predicts the time of arrival.
Oil leakage of the Gulf of Mexico, which occurred in April 2010, is an example of its use in the planning and recovery of disasters. Through satellite images, maps, up -to -date ocean data and weather information, scientists can watch oil spread and predict where to go. By having this information, officials can better plan corrective measures.
Geospatial analysis has also been greatly used to map the effects and potential threats of climate change. Climatologists can predict the potential effects of climate change on various ecosystems around the world. Data sources they use to do so include current and historical climate statistics, aerial photographs, satellite images and geographical positioning coordinates (GPS).