What two types of information make up Geographic?

When you look at a map, you’re looking at layers of information that have been integrated together. Information about streets, buildings, vegetation, and other relevant data is combined, which allows people to see, understand, and analyse relationships and patterns.

A geographic information system (GIS) is a computer system that captures, stores, verifies, and displays this data. Integrating GIS data provides a more insightful view of a location, which will allow users to more accurately compare the location of different objects to discover how they relate to each other, as well as make informed decisions on geographic planning.

There are different types of data utilised in GIS mapping. We will discuss the different types of GIS data and how this data is used in different industries and technologies.

GIS Data Types

There are two different types of GIS data, vector data and raster data. Each type of data has its own format.

Vector Data

Vector data is the spatial data most people are familiar with, as it is the format presented in mapping portals such as Open Street Maps and Google Maps. It is also used extensively in computer graphics and computer-aided design (CAD). It consists of points, lines, and polygons.

Point Data – Point Data typically represents nonadjacent features or distinct data points. Points are zero dimension, so you cannot measure their length or area. Examples of point data would be cities, points of interest, and schools.
Line Data – Line data is also known as arc data. It represents linear features such as rivers, streets, and trails. Line data has a starting and an ending point, and, since it only has one dimension, can only be used to measure length.

To distinguish arc features from each other, some lines may be solid while others are dashed, and different colours or line thicknesses may be used. For example, a road may be a solid black line, while a river is a dashed blue line.

Polygon Data – Polygons typically represent areas such as cities, lakes, or forests. Unlike point and line data, polygons are two dimensional and can measure the perimeter or area of a geographic feature. Colour schemes, patterns or gradation colour schemes could be used to identify polygon features.

Vector images are high-quality representations of an image or a shape. They can be enlarged or reduced with no loss of quality. To create or manipulate a vector image, you must use a program like Adobe Illustrator. A camera cannot capture a vector image.

Raster Data

Raster data, also known as grid data, is made up of pixels, and each pixel has a value. You will typically find raster data on topographic maps, satellite images, and aerial surveys. Raster data is vital for meteorology, disaster management, and industries where analysing risk is essential.

There are two types of raster data, continuous and discrete.

Continuous Data – Continuous rasters are cells on the grid that gradually change. Some examples would be an aerial photo, elevation and temperature. Continuous raster surfaces come from a fixed registration point. For instance, in digital elevation models, sea level is used as a registration point. Each cell represents a value that is above or below sea level.
Discrete Data – Discrete rasters have a specific theme or class, and each pixel is assigned to a specific class. Unlike continuous data, discrete data can only take specific values, not values within a range. For example, in a discrete raster land cover/use map, you can see each thematic class, and where it begins and ends is defined.

Unlike vector data, raster data is not scalable. If it is enlarged too much, it will get pixelated, and if stretched too much, it will become distorted. A digital photo is an example of raster data.

Industries That Use GIS Data

Professionals in just about any industry can benefit from GIS technology. Here are some of the most popular examples of industries that use GIS.

Supply Chain – Being able to track inventory shipments can make the supply chain more effective, thus saving money for businesses.
Insurance – Having the ability to accurately determine risk is vital for insurance companies. GIS can identify areas that are more likely to experience earthquakes, floods, or other natural disasters, as well as identify areas with higher crime rates.
Forestry – GIS systems can collect data to help preserve ecosystems by identifying species in certain areas, changes in animal populations, and mapping out things like annual rainfall, temperatures, and the severity and length of dry seasons.
Urban Planning – GIS helps planners better understand the needs of their city. It allows them to design the city to fill those needs in a way that will benefit it’s businesses and residents.
Banking – Banks can use GIS to determine where their branches locations should be or what branches they should close to increase profitability. It can also help them decide what products are best suited for their demographics.
Public Health – Public health offices can use GIS to identify areas at risk for certain diseases. Using this data, they can deploy awareness campaigns to help educate the citizens of a particular area at risk.

Let MGISS Future-Proof Your Services Using Smart Data

Accurate and authoritative data efficiently connects your team in the field to the assets that need immediate attention. This increases productivity, improves safety, and provides stakeholders with valuable insights into asset successes and areas of opportunity.

At MGISS, our solutions help you future-proof your operations and preempt disruptions, minimise consumer complaints, drive more profitable decision-making, and keep you one step ahead.

Empowering your decision making with the asset data truth. Independently advising on the smarter use of Geospatial data, technology and the digital transformation of field operations.

As an emerging technology itself, the field of geographic information systems (GIS) is constantly evolving.

Over a span of twenty years, members of the geographic information community have seen this technology evolve from command line, workstation-based software to geospatial tools that can now be used in the cloud and via mobile devices.

What is the Definition of a GIS?

What is GIS? This is probably the most asked question posed to those in the Geographic Information Systems (GIS) field and is probably the hardest to answer in a succinct and clear manner.

GIS is a technological field that incorporates geographical features with tabular data (otherwise known as attribute data) in order to map, analyze, and assess real-world problems.

The key word to this technology is Geography – this means that some portion of the data is spatial or geographical in nature.

GIS data is in some way referenced to locations on the earth. Coupled with this geospatial data is tabular data known as attribute data.

GIS data formats are created from a variety of historic and real-time sources such as field GIS data collection, GPS, LiDAR, satellite imagery, aerial photographs, and remote sensing. GIS data is used to analyze geographic phenomena, as basemaps, and to produce visualizations in the form of maps through the use of GIS software such as ArcGIS, QGIS, or GRASS GIS.

Parcel data is a form of cadastral GIS Data showing the boundaries and attribute information about properties in a given area. Map: Caitlin Dempsey.

What is GIS Attribute Data?

Attribute data can be generally defined as additional information about each of the spatial features. An example of this would be schools. The actual location of the schools is the spatial data. Additional data such as the school name, level of education taught, student capacity would make up the attribute data.

It is the partnership of these two data types that enables GIS to be such an effective problem solving tool through spatial analysis.

What is GIS Used For?

GIS operates on many levels. On the most basic level, geographic information systems technology is used as computer cartography, that is for straight forward map making.

Spatial Analysis

The real power of GIS, however, is through using spatial and statistical methods to analyze attribute and geographic information. Analyzing and mapping geospatial data is used to provide insights into that wouldn’t be obvious by looking at the records of a database or spreadsheet.

The end result of the analysis can be derivative information, interpolated information or prioritized information. Data layers are analyzed in order to answer different spatial questions. GIS maps are then produced that visualize the analyzed GISdata.

Some examples of the types of questions that GIS is used to answer might be:

GIS Cartography

The end product of any GIS analysis is typically a map. This could be a printed map or an online mapping product like ArcGIS Online.

Frequently asked questions (FAQs) about GIS

Are GIS and geospatial the same?

There is an increasing trend to use the term geospatial instead of GIS. So, what is the difference between geospatial and GIS?

Although some may use the terms interchangeably, there is a distinct difference between the two in that GIS refers more narrowly to the traditional definition of using layers of geographic data to produce spatial analysis and derivative maps.

Geospatial is more broadly use to refer to all technologies and applications of geographic data. For example, popular social media sites such as Foursquare and Facebook use “check-ins” that allow their users the ability to geographically tag their statuses. While those applications are considered to be geospatial, they don’t fall underneath the stricter definition of what makes up a geographic information system.

More: What’s is the Difference Between GIS and Geospatial?

What are the different types of GIS Data?

GIS data, also referred to as geospatial data, can be split into two main categories: vector and raster data. Vector data is data that is represented as either points, lines, or polygons. Raster data is data that is cell-based such as aerial imagery and elevation data. More: Types of GIS Data Explored: Vector and Raster

What is the different between a certificate and certification in GIS?

Although the terms seem similar, a certification in GIS is an acknowledgement of proficiency in one or more areas of GIS, usually obtained through taking an examination.

For example, the most common general certificate in GIS is the GISP, offered by the GIS Certification Institute (GISCI). Esri offers a serious of certification exams for its various software products.

A certificate in GIS typically achieved by taking short series of GIS related courses from an educational institute, culminating in that institute offering a piece of paper acknowledging competition of the course. A certificate in GIS is not a degree but often employers might accept a certificate in GIS in lieu of a degree in a geography or GIS related major.

More: GIS Certification versus Certificate Programs.

How do I get a GIS job?

Beyond taking coursework GIS, cartography, and programming, there are several strategies you can employ as you seek a career in GIS. To learn more these articles are recommended: Building a GIS Career, Tilting the GIS Job Hunting Odds, and Ten Tips to Prepare for a GIS Job Interview.

What programming languages should I learn?

Python is the most common language for scripting in GIS, used by both ArcGIS and QGIS. There are other languages and scripting languages you can learn to round out your skills as a GIS developer: Learning GIS Programming

Quotes on “What is GIS?”

“In the strictest sense, a GIS is a computer system capable of assembling, storing, manipulating, and displaying geographically referenced information, i.e. data identified according to their locations. Practitioners also regard the total GIS as including operating personnel and the data that go into the system.” ~ USGS“

A geographic information system (GIS) is a computer-based tool for mapping and analyzing things that exist and events that happen on earth. GIS technology integrates common database operations such as query and statistical analysis with the unique visualization and geographic analysis benefits offered by maps.” ~ Esri

“GIS is an integrated system of computer hardware, software, and trained personnel linking topographic, demographic, utility, facility, image and other resource data that is geographically referenced.” ~ NASA

“A geographic information system is a special case of information systems where the database consists of observations on spatially distributed features, activities or events, which are definable in space as points, lines, or areas. A geographic information system manipulates data about these points, lines, and areas to retrieve data for ad hoc queries and analyses” (Kenneth Dueker,Portland State University, 1979).

GIS has already affected most of us in some way without us even realizing it. If you’ve ever used an Internet mapping program to find directions, congratulations, you’ve personally used GIS. The new supermarket chain on the corner was probably located using GIS to determine the most effective place to meet customer demand.

Uses of GIS

There are numerous ways in which GIS is used across different industries. A few examples are:

Emergency response teams normally use GIS when they want to collect logistics with regards to how they will move in times of natural disasters (see: Predicting Natural Disasters and Humanitarian Crises through GIS).
The system also comes in handy when authorities want to discover any potential wetlands that need to be protected from the harmful effects brought about by pollution.
Companies also take advantage of the GIS so that they may be able to choose a strategic market location that has not yet been saturated by other competitors in the particular niche industry.
Management personnel use this system also so that they can be able to locate areas that are bound to suffer from catastrophes with regards to the infrastructure that is in place there.
Any potential spread of diseases & other such like pandemic are usually limited by the use of the GIS since the patterns of their occurrence is predicted in sufficient time.

For more detailed articles highlighting how GIS is used in many industries visit:

A Short History of GIS

One of the most famous early examples of spatial analysis can be traced back to London in the year 1854 when Dr. John Snow was able to predict the occurrence of cholera outbreak (More: John Snow’s Cholera Map using GIS Data). Thanks to the study that Snow released, officials from the government were able to determine the cause of the disease; which was contaminated water from one of the major pumps. The map that Snow came up with was very interesting in that it had the capability of analyzing the phenomena relating to their geographical positions and this was the first time the world was witnessing this. Photozincography was developed in the earlier years of the 1900s and this enabled the maps to be divided into various layers as required. In the initial stages, the process of drawing these maps was lengthy since it involved free hand but this changed later on with the introduction of the computer.

John Snow’s 1854 Cholera Map.

The first GIS was created by Dr. Roger Tomlinson and then introduced in the early 1960s in Canada. During its inception, this system was mainly meant for collecting, storing and then analyzing the capability & potential which the land in the rural areas had.

Prior to this, mapping by the use of computers was being used for such cases but this is a method that had numerous limitations associated to it. By the end of the 80s period, the use of GIS had already become popular in other related fields which is why it led to a spur in the growth of the industrial sector.

Since then, GIS and other geospatial technologies such as LiDAR, advanced remote sensing instruments on satellites, and drones have propelled the use of GIS into multiple areas.

Learn more: History of GIS

Components of GIS

The next step in understanding GIS is to look at each area and how they work together. These components are:

Hardware
Software
Data
People

Hardware

Hardware comprises the equipment needed to support the many activities needed for geospatial analysis ranging from data collection to data analysis. For desktop GIS, the central piece of equipment is the workstation, which runs the GIS software and is the attachment point for ancillary equipment.

The use of handheld field technology and mobile GIS is also becoming an important data collection tool in GIS. With the advent of web mapping, web servers have also become an important piece of equipment.

Software

Different types of software are important. Central to this is the GIS application package. Such software is essential for creating, editing and analyzing spatial and attribute data, therefore these packages contain a myriad of geospatial functions inherent to them.

Extensions or add-ons are software that extends the capabilities of the GIS software package.

Component GIS software is the opposite of application software. Component GIS seeks to build software applications that meet a specific purpose and thus are limited in their spatial analysis capabilities.

Utilities are stand-alone programs that perform a specific function. For example, a file format utility that converts from on type of GIS file to another.

There is also web GIS software that helps serve data and interactive maps through Internet browsers.

Data

Geospatial data is the core of any GIS. There are two primary types of data that are used in GIS: vector and raster data. A geodatabase is a database that is in some way referenced to locations on the earth. Geodatabases are grouped into two different types: vector and raster.

Vector data is spatial data represented as points, lines and polygons. Raster data is cell-based data such as aerial imagery and digital elevation models.

Coupled with this data is usually data known as attribute data. Attribute data generally defined as additional information about each spatial feature housed in tabular format. Sometimes attribute data is stored separately in a spreadsheet file such as Excel or Google Sheets. Attribute data is linked back to geospatial data by relating unique values found in the same populated column in the GIS dataset and the attribute data.

In a GIS, each piece of data contains a geographic location and attributes that describe it. The red dot on the map is a Fortune 1000 company headquarter and the attributes are displayed in the information window. Map: Caitlin Dempsey.

Documentation of GIS datasets is known as metadata. Metadata contains such information as the coordinate system, when the data was created, when it was last updated, who created it and how to contact them and definitions for any of the code attribute data.

There are many different ways that GIS data can be collected. Head up digitizing (the process of tracing GIS data directly on the screen), LiDAR, drones, GPS, and satellites are some of the ways GIS data is created.

GIS data layers. Source: FCDC

People

Well-trained GIS professionals knowledgeable in spatial analysis and skilled in using GIS software are essential to the GIS process (More: Building a GIS Career).

There are three factors to the people component: education, career path, and networking. Taking the right combination of classes, seeking a GIS internship, and attending conferences can all help someone seeking to build a career in GIS.

Selecting the right type of GIS job is important. A person highly skilled in GIS analysis should not seek a job as a GIS developer if they haven’t taken the necessary programming classes.

Finally, continuous networking with other GIS professionals is essential for the exchange of ideas as well as a support community.

This article was first written on March 16, 2021 and has since been updated.