GIS Mapping guide

GIS Mapping: A brief guide

GIS, “Geographic Information System,” allows you to interpret and analyze location data more efficiently and faster. 

Erick Macías, our data scientist, defines GIS as a system that processes and models large volumes of real-world information to generate visual tools. These tools help you understand demographic, economic, and market phenomena, leading to more effective decision-making.

GIS works mainly to visualize “geospatial data” in a map. This tool is helpful because “raw data” can be unfriendly to read, especially for not technical people. 

We have divided this article in three topics:

  • How does GIS work?
  • Why GIS is so helpful?
  • Should you use GIS mapping?

How does GIS work?

GIS technology contemplates three elements: Geospatial data, analysis, and mapping tools

Geospatial data includes addresses, coordinates, photographs, and map information. Geospatial data can connect to historical and descriptive information such as spreadsheets or tables. 

GIS maps can integrate different layers of data, one above the other. For example, a map can have three layers: The first one contains the geographical limits, the second includes the stores locations in that area, and the third one contains data about the stores´ internal sales data. 

Analysis: Data doesn’t mean anything without a proper interpretation. Data analysts use all the collected information to give context and identify insights, patterns, and relations according to a specific problem. 

For example, a retailer expanding to a new city can use GIS technology to identify the best locations for new stores. 

Mapping tools: Maps are the visual element that contains the analyzed data; that’s why they need to be easy to interact with and read. 

There are different types of maps according to the data that needs to be analyzed: 

GIS Mapping category map

Category maps allow you to relate locations with specific categories such as sales territories.

GIS Mapping quantity maps

Quantity maps show color gradients. In the example, the greener areas represent the highest-income neighbors in that city. 

GIS Mapping heat maps

Heat Maps analyze density in specific locations, like areas with a high volume of people or vehicular traffic. 

Why GIS is so helpful?

GIS Mapping can give you answers to complex questions and help you to make better business decisions. It’s not the same to read a big spreadsheet trying to figure out big pieces of data as looking at the same information in an interactive map with colors, symbols, and figures. 

Understand user behavior

GIS Mapping can show you how users move, where they go, and what places they visit. This information can benefit industries like retail, logistics, services, or investment when making decisions based on increasing ROI and reducing costs.

For example, a packaging and delivery company like DHL can use GIS technology to analyze roads with the highest traffic concentrations and car accidents to optimize their route planning. 

Identify internal problems

Sales and marketing managers can use GIS Mapping to analyze the behavior of their different sales locations. For example, Pizza Hut’s regional manager can identify which restaurants have supply problems or are underperforming in sales. 

Spot trends and unique opportunities

Big Data para desarrolladores e inversionistas inmobiliarios

Real estate developers use GIS Mapping to understand a particular area’s demand, growth, and movement to identify the best place to buy and build a project. Developers can perform specific forecasts and see them through the map.

Should you use GIS Mapping?

Remember, GIS Mapping is a way to understand big and complex pieces of information quickly. This tool will be useful if you need to make decisions based on geographical locations and consumers´ behaviors.

You also need to consider the quality of your data, analysis, and tools. As part of data science, GIS technology can be very powerful, but it needs to the treated correctly. 

In PREDIK Data-Driven, we have more than 14 years of helping companies to solve complex problems with data science. Our analyst will bring you the information you need to make critical decisions.