GIS Cloud Computing


GIS Cloud Computing refers to the use of remote servers hosted on the Internet for the purpose of storing, managing, and processing geographic information system (GIS) data, rather than a local server or personal computer.

What is GIS Cloud Computing?

GIS Cloud Computing is the application of cloud computing in the field of geographic information systems. It harnesses the power of cloud technology to store massive volumes of spatial data, process complex geospatial computations, and provide access to those data and processing power from anywhere over the internet. Unlike traditional on-premise GIS systems, GIS Cloud Computing is scalable, efficient, and offers broad accessibility.

The primary features of GIS Cloud Computing include data storage, spatial processing, and web-based mapping. Data storage is the ability to store vast amounts of GIS data in the cloud. Spatial processing is the capacity to process geospatial tasks and algorithms in the cloud. Web-based mapping involves visualizing spatial data from the cloud on the internet.

GIS Cloud Computing provides numerous benefits such as the reduction of costs and resources associated with physical data storage, enhanced processing speed due to distributed computing, increased flexibility with scalable resources, and the opportunity for real-time collaboration.


What is the role of Cloud Computing in GIS?

Cloud Computing plays a crucial role in GIS as it provides massive storage, computational power, and tools for the analysis and visualization of geospatial data. This significantly reduces the cost and complexity of managing local infrastructures.

What are the benefits of GIS Cloud Computing?

GIS Cloud Computing offers several benefits. It provides a scalable and cost-effective solution for data storage and processing. It also allows access to geospatial data from anywhere at any time, promotes collaboration, and enhances data security.

What are the examples of GIS Cloud Computing applications?

Atlas (that´s us!), ESRI's ArcGIS Online, CARTO, Google Earth Engine are all examples of GIS Cloud Computing applications. These platforms provide cloud-based geospatial data handling and visualization tools.

Does GIS Cloud Computing require specialized skills?

While a basic understanding of GIS is important, many cloud computing platforms are designed to be user-friendly, reducing the need for specialized skills. However, for advanced operations, knowledge of cloud computing and GIS application development can be beneficial.

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