{"id":1403,"date":"2022-03-08T13:05:43","date_gmt":"2022-03-08T13:05:43","guid":{"rendered":"https:\/\/visitgis.com\/?p=1403"},"modified":"2022-03-17T12:35:12","modified_gmt":"2022-03-17T12:35:12","slug":"free-sources-of-data-for-gis-projects","status":"publish","type":"post","link":"https:\/\/visitgis.com\/free-sources-of-data-for-gis-projects\/","title":{"rendered":"2 Quick Ways to get Data for GIS Learning Projects"},"content":{"rendered":"\n

Introduction<\/h2>\n\n\n\n

Data is the backbone of GIS projects<\/a>. Quality of data defines the success of the GIS projects. Geo spatial data  geocode data of any spatial entity. There are various ways to collect geospatial data.<\/p>\n\n\n\n

In general, GIS projects are designed to solve geographical problems. So, stakeholders do serious planning before initiating any GIS project for precise results. At each startup of a geographical project, teams define all standards of data. It empowers the process towards better outputs.<\/p>\n\n\n\n

What is data for GIS?<\/h2>\n\n\n\n

Data is a feed to GIS Analytics tools to resolve any spatial related problem.<\/p>\n\n\n\n

Today, data is a buzzword. Data is the next oil. Data is a fuel to run the world. Similar statements floating around the internet, showing the data importance in many ways.<\/p>\n\n\n\n

In fact, GIS is not only accepting data with spatial aspects as well as all types of data too. It is the beauty of GIS Applications.<\/p>\n\n\n\n

How many types of data generally?<\/h2>\n\n\n\n

We can divide data into qualitative and quantitative levels.<\/p>\n\n\n\n

At a qualitative level we divide data into Nominal and Ordinal Categories.<\/p>\n\n\n\n

And at a quantitative level we divide data into discrete and continuous data types.<\/p>\n\n\n\n

We are not going to discuss all core data types in detail.<\/a><\/p>\n\n\n\n

What type of data is used in GIS projects?<\/h2>\n\n\n\n

Spatial data divides into following categories<\/p>\n\n\n\n