scholarly journals Comparative suitability of ordinary kriging and Inverse Distance Weighted interpolation for indicating intactness gradients on threatened savannah woodland and forest stands

Author(s):  
C. Munyati ◽  
N.I. Sinthumule
2020 ◽  
Vol 29 (1) ◽  
pp. 17-26
Author(s):  
Izabela Sówka ◽  
Agnieszka Grzelka ◽  
Marcin Pawnuk ◽  
Anna Pielichowska

The aim of the study was to determine the usefulness of spatial data interpolation methods in analyses of the odour impact of animal husbandry facilities. The interpolation methods of data obtained from measurements using the field olfactometry technique were the ordinary kriging method (OK) and the inverse distance weighted method (IDW). The quality of the analyses that have been obtained indicates the potentially better use of the OK method in the presentation of spatial odour concentration distributions.


2004 ◽  
Vol 68 (6) ◽  
pp. 2042-2047 ◽  
Author(s):  
T. G. Mueller ◽  
N. B. Pusuluri ◽  
K. K. Mathias ◽  
P. L. Cornelius ◽  
R. I. Barnhisel ◽  
...  

2003 ◽  
Vol 34 (5) ◽  
pp. 413-426 ◽  
Author(s):  
Antti Taskinen ◽  
Hannu Sirviö ◽  
Bertel Vehviläinen

The present approach for daily temperature interpolation of the Watershed Simulation and Forecasting System of the Finnish Environment Institute is based on the inverse distance weighted interpolation. In order to improve the calculation, three alternative methods were tested: 1) modified inverse distance weighted model, 2) regression with dummy variables for taking into account time and 3) regression equation calibrated for each day. The regression model calibrated for each day proved to be the most promising model. By average, the difference between the accuracy of it and the inverse distance weighted methods wasn't big but some indication was found that in single cases it can make a difference. The estimated parameters were found to have realistic physical meanings.


Sign in / Sign up

Export Citation Format

Share Document