Smart Geo-comparative Maps: ferramenta para visualização e comparação de similaridades entre pontos de interesse e regiões a partir de vetores de características.

Abstract

Digital mapping is the process of compiling a set of data in digital format. The main objective of this mapping is to allow the creation of maps with precise representations of the mapped areas. Location, route planning, search, recommendation, among others, are some of the main functionalities that services using digital maps can offer. However, the mentioned functionalities generally do not involve, whenever possible, geographical characteristics in their parameters. Thus, the tool described in this work is a digital map that promotes the integration of geographical characteristics with the basic characteristics of Points of Interest and geographic elements in carrying out activities of search, comparison, and analysis between locations and regions. To do this, points and geographic elements will be represented by feature vectors, and the similarity values of each location will be obtained by pre-trained machine learning models.