Urban/rural trends data

A store's location directly impacts supply, profits, marketing, and almost every other aspect of store performance. Much can be learned from the performance of different types of retail stores in different neighborhoods, countries, or even climate areas. Therefore, retailers use geospatial data machine learning models to plan store locations and predict profits.

Property value and mortgage value assessment is the estimation of the future value of a particular asset for purchase, insurance, and more. Unlike most other purchases, real estate tends to rise in value over time. This rise is influenced by economic and social trends, environmental conditions, and on governmental controls and regulations.  These large-scale trends directly affect the general demand for property ownership, the scarcity of property for purchase, the utility of the property for potential owners, and the ease at which property rights can be transferred. 

A smart city is a city whose infrastructure and services have the ability to collect and share data. Smart cities data, therefore, refers to the data that make up or are generated by smart cities.