Earth and Planetary Sciences
3 years ago

Boosting accuracy in predicting study areas with advanced interpolation methods!

1 view
Journal of Physics Conference Series
Comparison of spatial interpolation methods based on ArcGIS
Zenglu Liu, Tianfeng Yan

Paper Summary

Spatial interpolation methods in ArcGIS were compared to determine the most accurate method for predicting data in a study area. The researchers analyzed the inverse distance weighting and Kriging methods to see which one provided better results. The study aimed to help users choose the most suitable interpolation method for different scenarios.

Related papers

Theme background image
Computer Science
8 years ago

New Method Boosts Accuracy of US Temperature Data Visualization

Information Visualization
Computer Graphics
Trajectory Analysis
2 views
Theme background image
Environmental Science
3 years ago

Madurai City Faces Severe Pollution Crisis, Urgent Mitigation Measures Needed

COVID-19 Impact
2 views
Theme background image
Environmental Science
3 years ago

New geospatial method produces more accurate and reliable location predictions.

Soil Mapping
Spatial Econometrics
Geographic Information
2 views