A Review of Spatial Interpolation Methods for Environmental Scientists
نویسندگان
چکیده
........................................................................................................................................ III ABBREVIATIONS ............................................................................................................................. VI LIST OF FIGURES.......................................................................................................................... XIII LIST OF TABLES.............................................................................................................................XVI CHAPTER 1: INTRODUCTION .........................................................................................................1 CHAPTER 2: SPATIAL INTERPOLATION METHODS................................................................4 2.1. NON-GEOSTATISTICAL INTERPOLATORS........................................................................................6 2.1.1. Nearest Neighbours ..............................................................................................................6 2.1.2. Triangular Irregular Network...............................................................................................6 2.1.3. Natural Neighbours ..............................................................................................................6 2.1.4. Inverse Distance Weighting ..................................................................................................7 2.1.5. Regression Models ................................................................................................................8 2.1.6. Trend Surface Analysis .........................................................................................................8 2.1.7. Splines and Local Trend Surfaces.........................................................................................8 2.1.8. Thin Plate Splines .................................................................................................................9 2.1.9. Classification ........................................................................................................................9 2.1.10. Regression Tree ..................................................................................................................9 2.1.11. Fourier Series .....................................................................................................................9 2.1.12. Lapse Rate.........................................................................................................................10 2.2. GEOSTATISTICS............................................................................................................................10 2.2.
منابع مشابه
Assessment of geostatistical and interpolation methods for mapping forest dieback intensity in Zagros forests
During recent years, oak decline has been widely spread across Brant’s oak (Quercus Brantii Lindl.) stands in the Zagros Mountains, Western Iran, which caused large-area forest dieback in several sites. Mapping the intensity and spatial distribution of forest dieback is essential for developing management and control strategies. This study evaluated a range of geostatistical and interpolation m...
متن کاملThe Effect of Station Density and Regional Division on Spatial Distribution of Daily Rainfall
Rainfall is one of the most important climatic variables in the hydrology cycle. In flood estimation as well as environmental pollution studies in medium to large watersheds not only mus temporal pattern of rainfall t be known, but also the knowledge of its spatial distribution is required. Estimation of daily rainfall distribution without comparison and selection of suitable methods may lead...
متن کاملThe Effect of Station Density and Regional Division on Spatial Distribution of Daily Rainfall
Rainfall is one of the most important climatic variables in the hydrology cycle. In flood estimation as well as environmental pollution studies in medium to large watersheds not only mus temporal pattern of rainfall t be known, but also the knowledge of its spatial distribution is required. Estimation of daily rainfall distribution without comparison and selection of 
suitable methods may le...
متن کاملSpatial interpolation methods applied in the environmental sciences: A review
Spatially continuous data of environmental variables are often required for environmental sciences and management. However, information for environmental variables is usually collected by point sampling, particularly for the mountainous region and deep ocean area. Thus, methods generating such spatially continuous data by using point samples become essential tools. Spatial interpolation methods...
متن کاملModeling spatial distribution of Tehran air pollutants using geostatistical methods incorporate uncertainty maps
The estimation of pollution fields, especially in densely populated areas, is an important application in the field of environmental science due to the significant effects of air pollution on public health. In this paper, we investigate the spatial distribution of three air pollutants in Tehran’s atmosphere: carbon monoxide (CO), nitrogen dioxide (NO2), and atmospheric particulate matters less ...
متن کامل