Spatial data interpolation

Autor: Afonso Paiva, Dinalva Sales, Eder Brito, Glauco Gonçalves, Marcos Jardel Henriques, Oilson Alberto Gonzatto Junior, Samuel Silva, Saulo Mastelini, Thales Vieira, Vera Tomazella
Rok vydání: 2022
DOI: 10.33774/miir-2022-18js5
Popis: Massive data collection has been carried out in both information gathering and decision making in real-time. Due to the nature of the data type (spatial or spatio-temporal), treatment and interpolation become essential steps in this process. In this context, computer systems capable of generating thematic maps are used, through the interpolation of the sample data, to measure information for nonsampled locations. An important aspect is the choice of the interpolation method to be used since most of the interpolators do not preserve the original data, thus affecting the thematic map generated. This work aims to propose different alternatives to solve the problem proposed by Jhon Deere.
Databáze: OpenAIRE