Spatial data interpolation

18 March 2022, Version 1

Abstract

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.

Content

Comments

Comments are not moderated before they are posted, but they can be removed by the site moderators if they are found to be in contravention of our Commenting Policy [opens in a new tab] - please read this policy before you post. Comments should be used for scholarly discussion of the content in question. You can find more information about how to use the commenting feature here [opens in a new tab] .
This site is protected by reCAPTCHA and the Google Privacy Policy [opens in a new tab] and Terms of Service [opens in a new tab] apply.