TY - JOUR
T1 - A COMPARISON OF DIFFERENT GIS-BASED INTERPOLATION METHODS FOR BATHYMETRIC DATA
T2 - CASE STUDY OF BAWEAN ISLAND, EAST JAVA
AU - Pratomo, Danar Guruh
AU - Safira, Rizka Amelia Dwi
AU - Stefani, Olivia
N1 - Publisher Copyright:
© 2023 The Author(s). Published by Vilnius Gediminas Technical University.
PY - 2023/12/19
Y1 - 2023/12/19
N2 - The bottom surface’s portrayal is crucial in many different practices. Therefore, accurate bathymetry data is re-quired. The interpolation method is one element that influences the accuracy of a Single Beam Echosounder’s depth data. IDW, Kriging, and TIN are three standard interpolation techniques. This study compares these three methods with two scenarios utilizing the spatial analysis to establish the most effective technique for producing the digital elevation model of the seafloor beneath Bawean Island. The IDW exhibits the strongest R-squared (0.9998779 in Scenario-1 and 0.9999875 in Scenario-2) and correlation (0.9998796 in Scenario-1 and 0.9999595 in Scenario-2). It indicates that IDW and bathymetric data have the closest relationships. IDW has the lowest error, as measured by the MAE value (0.02 in Scenario-1 and 0.009 in Scenario-2), followed in both cases by Kriging and TIN. Additionally, the RMSE for IDW shows the same outcome (0.045 in Scenario 1 and 0.016 in Scenario 2). In the meantime, comparing the first and second scenarios reveals that the second, which has fewer data, is preferable to the first. Since the MAE and RMSE in the first scenario are greater than those in the second, we may infer that more data leads to more significant errors.
AB - The bottom surface’s portrayal is crucial in many different practices. Therefore, accurate bathymetry data is re-quired. The interpolation method is one element that influences the accuracy of a Single Beam Echosounder’s depth data. IDW, Kriging, and TIN are three standard interpolation techniques. This study compares these three methods with two scenarios utilizing the spatial analysis to establish the most effective technique for producing the digital elevation model of the seafloor beneath Bawean Island. The IDW exhibits the strongest R-squared (0.9998779 in Scenario-1 and 0.9999875 in Scenario-2) and correlation (0.9998796 in Scenario-1 and 0.9999595 in Scenario-2). It indicates that IDW and bathymetric data have the closest relationships. IDW has the lowest error, as measured by the MAE value (0.02 in Scenario-1 and 0.009 in Scenario-2), followed in both cases by Kriging and TIN. Additionally, the RMSE for IDW shows the same outcome (0.045 in Scenario 1 and 0.016 in Scenario 2). In the meantime, comparing the first and second scenarios reveals that the second, which has fewer data, is preferable to the first. Since the MAE and RMSE in the first scenario are greater than those in the second, we may infer that more data leads to more significant errors.
KW - IDW
KW - Kriging
KW - SBES
KW - TIN
KW - interpolation methods
KW - spatial analysis
UR - http://www.scopus.com/inward/record.url?scp=85180707019&partnerID=8YFLogxK
U2 - 10.3846/gac.2023.18250
DO - 10.3846/gac.2023.18250
M3 - Article
AN - SCOPUS:85180707019
SN - 2029-6991
VL - 49
SP - 186
EP - 194
JO - Geodesy and Cartography
JF - Geodesy and Cartography
IS - 4
ER -