This book "Geostatistics" presents an in-depth exploration of the theoretical foundations, methodologies, and practical applications of geostatistical analysis focusing on spatial and temporal datasets often utilized in the earth sciences, environmental science, mining, petroleum engineering, geography, and related fields. This book aims to equip readers with a comprehensive understanding of how to model spatial relationships and make predictions about natural resources, environmental phenomena, and any spatially related data. It covers a range of topics from basic principles and models to advanced techniques and current trends in the field. The readership includes students pursuing advanced degrees in geosciences, professional geoscientists, environmental scientists, mining and petroleum engineers, and researchers in geography and related disciplines who are seeking to enhance their analytical skills and knowledge in spatial data analysis. By offering both theoretical insights and practical case studies, this book serves as an essential resource for anyone looking to deepen their understanding of geostatistics and its applications in analyzing and interpreting complex spatial data.