Study of Spatial Dynamics of Urban Growth Using the Geostatistical Interpolation Method of Kriging | Chapter 10 | Science and Technology: Developments and Applications Vol. 5

The objective of this study is to simulate urban growth on the surface and underground, on a municipal scale, using a Geostatistical spatial modeling technique, called Kriging. Ordinary kriging was used as a method of geostatistical interpolation of urban growth, taking into account normal growth trends. Geostatistics is a branch of Statistics that emerged in the 1960s in France with applications to the study of the behavior of spatial phenomena, initially used for prospecting in geology and mining. Later it began to have applications in the environment and social sciences. The research work presented here aims to apply Geostatistics techniques to the dynamics of urban growth in the municipality of Oeiras, in Portugal. The results of the used method allowed us to understand the trends of urban growth on the surface and underground, as well as the advantages and usefulness of the Geostatistical technique applied to urban planning.

 

Author (s) Details

 

Fernando da Fonseca Cruz
Atlantic-University Institute, Fábrica da Pólvora de Barcarena, Oeiras, Portugal.

 

Please see the book here:- https://doi.org/10.9734/bpi/stda/v5/4171

Geostatistical Tools to Interpolate the Textural Variation Influences the Yield of Tapioca (Manihot esculenta) | Chapter 5 | Current Topics in Agricultural Sciences Vol. 3

 Soil texture is an important feature that represents a variety of soil parameters such as bulk density, particle density, infiltration rate, hydraulic conductivity, water holding capacity, nutrient storage and availability, as well as soil aggregate movement, binding, and stability. Tuber development is influenced by the texture of the soil. The major goal of this study was to create kriged maps (Ordinary kriging map and semivariogram) to interpolate the soil texture for Tapioca growing soils in Namakkal District's Paramthy block in unsampled areas. Nearly 254 surface samples were obtained for this investigation, which covered 19,149 ha of agricultural land with Tapioca as the predominant crop. Our findings indicate the utility of geostatistical techniques in analysing the spatial distribution of soil texture, specifically sand, silt, and clay content, which governs soil physical, chemical, and hydrological properties. Every crop has its own economic component, which may be below ground or above ground. Both require improved soil for high production, but crops with economic components below the earth rely heavily on soil texture. The findings, such as the supplied maps and their related variation, can be utilised to build and implement additional land management and soil water conservation programmes in the research area.

Author(S) Details

V. Sabareeshwari
Department of Crop Management, Vanavarayar Institute of Agriculture, Pollachi-624103, Coimbatore, Tamil Nadu, India.

View Book:- https://stm.bookpi.org/CTAS-V3/article/view/4625