Search
5 articles for “Kriging”
-
Advance in Spatial Statistics for Environmental Data Analysis
Abstract: Recent advancements in spatial statistics have significantly enhanced the analysis of environmental data, addressing complex spatial dependencies and offering robust methodologies for environmental monitoring, modeling, and decision-making. This abstract highlights key developments in the field, emphasizing their applications and impact. Geostatistical Methods, Improved geostatistical techniques, such as kriging and co-kriging, provide more accurate predictions of environmental variables by incorporating spatial correlation structures. Advanced kriging variants, including Bayesian kriging and machine …
Published in Research & Reviews : Journal of Statistics · Vol. 12, Issue 3, 2023 · pp. 35–39 Read article
-
Geospatial Depiction of Groundwater Level Disparities on a Temporal Component over Portions of Cuddapah District, India Using Contemporary Geo Tools and Interrelated Statistics
Abstract: This paper mainly focuses on comparing methods such as Deterministic methods, Geostatistical methods and Interpolation methods in order to obtain a good fit to represent groundwater level disparities existed in the study area from 1996 to 2015. Inverse Distance Weighting, Global Polynomial Interpolation, Radial Basis Functions, Local Polynomial Interpolation, Kriging, Empirical Bayesian Kriging, Kernel smoothing and Diffusion Kernel were the methods tested for the present study. The data set procured …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 6, Issue 2, 2017 · pp. 13–29 Read article
-
Geo-spatial Predictions of Soil Organic Carbon: A Review
Abstract: Soil Organic Carbon (SOC) plays an important role in conservation of biophysical environment, i.e., biogeochemical cycles, soil fertility, water quality, atmospheric carbon control, temperature control, sustainable land management and food production. Geo-statistical techniques can be useful for precise estimations and preparation of high quality SOC maps essential for planning and monitoring the biophysical environment. Several studies have used geo-statistical techniques successfully for description of spatial patterns, quantitative modeling, spatial predictions …
Published in Journal of Remote Sensing & GIS · Vol. 5, Issue 2, 2014 · pp. 23–39 Read article
-
DYNAMICS OF GROUNDWATER QUALITY ALONG THE BUFFER GRADIENT IN MYSURU CITY LOCAL PLANNING AREA
Abstract: The study includes spatiotemporal changes in the groundwater quality in Mysuru City Local Planning Area (LPA) using Geographic Information System (GIS). The secondary groundwater data of 9 stations for 22 years (from 1994 to 2016) was used to analyse the variations. Inverse distance weighted method as well as kriging method of the interpolation are used to prepare the distribution map of physio-chemical parameters of groundwater while overlay method is used …
Published in Journal of Water Resource Engineering and Management · Vol. 6, Issue 2, 2019 · pp. 53–60 Read article
-
Precipitation Variability Assessment using GIS and Geostatistical Techniques: A Study of Chamarajanagara District, Karnataka, India
Abstract: AbstractPrecipitation is an important parameter for the life cycle of living beings; also it plays a major role in global and country economic system. If there is a decline in precipitation then whole agricultural and food chain imbalance will become more. The present study is conducted to assess the spatial and temporal changes in precipitation pattern. The precipitation is interpolated using ordinary kriging to represent spatial distribution. The coefficient of …
Published in Research & Reviews : Journal of Ecology · Vol. 5, Issue 3, 2016 · pp. 22–27 Read article