Spatial distribution of climatic variables in Tocantins State, Brazil

Autores

  • Léo Fernandes Ávila Universidade Federal de Goiás
  • Felício Cassalho Instituto Nacional de Pesquisas Espaciais
  • Marcelo Ribeiro Viola Universidade Federal de Lavras
  • Samuel Beskow Universidade Federal de Pelotas
  • Gilberto Coelho Universidade Federal de Lavras
  • Kleudson da Silva Nardes Universidade Federal de Tocantins

DOI:

https://doi.org/10.15361/1984-5529.2019v47n3p269-277

Resumo

The recognition of spatial distribution of climatic variables is essential for planning land use and occupation. This is especially relevant in regions where the agricultural frontier is expanding, as it is the case of Tocantins State, Brazil. One of the tools widely used for spatialization of environmental variables is geostatistics, which allows the identification of the spatial dependence of these variables. In this context, this study evaluates the performance of geostatistical interpolators ordinary kriging (OK) and cokriging (CK) by adjusting different semivariogram models, and the sub­sequent spatialization of the variables mean air temperature, insolation, air relative humidity, and potential evapotranspiration for Tocantins State. The main results and conclusions were: i) variogram analysis is essential to improve the mapping results of each variable; ii) cross-validation showed acceptable errors, indicating reliability of results; (iii) the OK outperformed CK, which can be explained by the good spatial dependence structure presented by the primary variable; and iv) the maps produced can corroborate the management of natural resources and land use planning in Tocantins State.

Biografia do Autor

Léo Fernandes Ávila, Universidade Federal de Goiás

Engenheiro Agrícola, Mestre em Engenharia de Água e Solo e Doutor em Recursos Hídricos. 

 

 

Felício Cassalho, Instituto Nacional de Pesquisas Espaciais

Engenheiro Hídrico, Mestrando em Sensoriamento Remoto

Marcelo Ribeiro Viola, Universidade Federal de Lavras

Prof. Adjunto da Universidade Federal de Lavras

Samuel Beskow, Universidade Federal de Pelotas

Prof. Adjunto da Universidade Federal de Pelotas

Gilberto Coelho, Universidade Federal de Lavras

Universidade Federal de Lavras

Publicado

11/09/2019

Edição

Seção

Engenharia Rural/Agrícola - Rural/Agricultural Engineering