GIS (Geographic Information Systems) is a spatial intelligence system that is used to make sense of geographic data and to make the data visible and usable. GIS cloud systems are an offshoot of this concept. GIS cloud computing has been widely adopted by large enterprises, small-to-medium enterprises, government institutions, and educational institutions alike for its cost efficiency and scalability.
GIS cloud computing is changing how we think about location-based data and will continue to do so in the future. This guide will explore how GIS cloud computing can impact your field, and why it’s important to keep up with this rapidly evolving technology.
In this article, we will tell you all about GIS Cloud Computing and show you some of the best tools to get started with it.
What Is GIS Cloud Computing?
GIS Cloud Computing is a process that lets you share and store your data on a secure cloud platform. This means that you can work on your data from wherever you are, at any time. Cloud Computing has been proven to be better than traditional methods of storing spatial data because it is more secure, offers better access to the data for users, and it is easier to share projects with other people.
GIS Cloud Computing is one of the newest technologies in this area – it helps you increase your productivity and make better decisions with the help of your data.
Cloud GIS Advantages And Disadvantages
In this section, we will discuss the cloud gis advantages and disadvantages:
Advantages of GIS Cloud Computing
GIS Cloud Computing has a number of advantages relating to data quality, performance, and scalability. In terms of data quality, GIS Cloud Computing is able to maintain the integrity of the information without compromising on any level.
The performance of GIS Cloud Computing can be scaled up or down as needed and the cloud computing architecture is highly resistant to outages.
There are no limits imposed by size and location, and you won’t need expensive software licenses or hardware upgrades.
Disadvantages of GIS Cloud Computing
The main disadvantage is that many organizations have a great amount of data in their databases which require a lot of time and effort to map and upload them in the cloud. This increases not only the cost but also the time taken to implement a solution in cloud computing.
Moreover, it is difficult to assess whether an organization has invested enough time and effort into making its data secure and private before uploading it into a cloud computing environment.
Additionally, some organizations might not want their competitors to get hold of their data through outsourcing providers such as Amazon Web Services.
What Are The Benefits of GIS Cloud Computing?
Cloud computing is the processing of data, information and knowledge on remote servers and giving access to it all without the need for a local copy.
GIS Cloud Computing is a recent development in the field of Geographic Information Systems (GIS) that has gained much attention. Though the notion of cloud computing has been around for decades, it has only recently been popularized by companies that are operating in the field of GIS.
Some Benefits of GIS Cloud Computing include the following:
This is an advancement from traditional GIS software because it allows individuals to access and utilize GIS data from any location.
- Increased productivity: With more users accessing and utilizing this software, more work can be completed efficiently without the need to travel to multiple locations.
- Reduced costs: With less travel needed, there will be fewer expenditures on fuel and time off for employees. Employees will also have greater flexibility with their work hours and location.
- Improved security: Data can be encrypted more securely through the internet than through physical storage devices such as CDs or hard drives.
- It’s very easy to work with one’s data from any location.
- The user can share their project with anyone they want.
How Does GIS Cloud Computing Work?
GIS Cloud Computing is a platform that provides cloud-based GIS and location intelligence. It can be used by organizations with large data sets to query and analyze the data in an affordable manner.
The GIS cloud computing platform is designed with privacy and security in mind, which makes it a great option for outsourcing geospatial data analytics without having to worry about sensitive client or company information.
The user can access their data from anywhere and anytime and can be accessed by anyone with an internet connection.
GIS Cloud computing is a way of utilizing the geographical information system to store, process and analyze large amounts of spatial data in order to provide location-based services.
Geospatial Cloud Supported Service Models:
Cloud service models are the different ways in which a company can offer their services to customers. There are three types of cloud service models available:
- GIS Software as a Service (SaaS)
- GIS Platform as a Service (PaaS)
- GIS Infrastructure as a Service (IaaS)
#1. GIS Software as a Service:
Software is hosted in the cloud and accessed through the internet. This model is well-suited for companies that have simple needs, don’t have in-house technical expertise, or need to scale up quickly. For example Mapbox & ArcGIS Online.
#2. GIS Platform as a Service:
Platforms are hosted in the cloud and accessed through the internet. This model is well-suited for companies that want their access to be more customized or need enterprise solutions that require high levels of customization. For example ESRI ArcGIS Platform for maps and location services.
#3. GIS Infrastructure as a Service:
A GIS Infrastructure-as-a-Service (IaaS) is an on-demand, all-inclusive service that provides for the rapid deployment of web map solutions. It’s a way to get your own private geospatial platform from a cloud provider. For example GISCloud.com
Conclusion
Cloud computing has been around for a while now and has been utilized by many different industries. GIS Cloud Computing is a subset of Cloud Computing that applies to the geospatial industry. As the use of geospatial technology continues to grow, it will become more difficult to keep up with the demand for data from users. This is where GIS cloud computing comes in. It provides seamless access to geospatial data from anywhere, anytime and from any device.