Spatial Analysis (Hardcover)

SPATIAL ANALYSIS

Explore the foundations and latest developments in spatial statistical analysis

In Spatial Analysis, two distinguished authors deliver a practical and insightful exploration of the statistical investigation of the interdependence of random variables as a function of their spatial proximity. The book expertly blends theory and application, offering numerous worked examples and exercises at the end of each chapter.

Increasingly relevant to fields as diverse as epidemiology, geography, geology, image analysis, and machine learning, spatial statistics is becoming more important to a wide range of specialists and professionals. The book includes:

• Thorough introduction to stationary random fields, intrinsic and generalized random fields, and stochastic models
• Comprehensive exploration of the estimation of spatial structure
• Practical discussion of kriging and the spatial linear model

Spatial Analysis is an invaluable resource for advanced undergraduate and postgraduate students in statistics, data science, digital imaging, geostatistics, and agriculture. It's also an accessible reference for professionals who are required to use spatial models in their work.

空間分析

探索空間統計分析的基礎和最新發展

在《空間分析》一書中，兩位傑出的作者提供了對隨機變量之間相互依賴性與其空間接近度的統計調查的實用而深入的探索。該書巧妙地結合了理論和應用，每章末尾提供了大量的實例和練習題。

空間統計越來越與流行病學、地理學、地質學、影像分析和機器學習等領域相關，對各種專業人士和專家來說變得更加重要。該書包括：

• 對平穩隨機場、內在和廣義隨機場以及隨機模型的全面介紹


• 對空間結構估計的全面探討


• 對克里金法和空間線性模型的實用討論

《空間分析》對統計學、數據科學、數字影像、地理統計學和農業等高年級本科生和研究生非常有價值。對於那些需要在工作中使用空間模型的專業人士來說，它也是一本易於理解的參考資料。

John T. Kent is a Professor in the Department of Statistics at the University of Leeds, UK. He began his career as a research fellow at Sidney Sussex College, Cambridge before moving to the University of Leeds. He has published extensively on various aspects of statistics, including infinite divisibility, directional data analysis, multivariate analysis, inference, robustness, shape analysis, image analysis, spatial statistics, and spatial-temporal modelling.

Kanti V. Mardia is a Senior Research Professor and Leverhulme Emeritus Fellow in the Department of Statistics at the University of Leeds, and a Visiting Professor at the University of Oxford. During his career he has received many prestigious honours, including in 2003 the Guy Medal in Silver from the Royal Statistical Society, and in 2013 the Wilks memorial medal from the American Statistical Society. His research interests include bioinformatics, directional statistics, geosciences, image analysis, multivariate analysis, shape analysis, spatial statistics, and spatial-temporal modelling.

Kent and Mardia are also joint authors of a well-established monograph on Multivariate Analysis.

John T. Kent 是英國利茲大學統計學系的教授。他在劍橋大學西德尼·蘇塞克斯學院擔任研究員後，轉到了利茲大學。他在統計學的各個方面都有廣泛的發表，包括無窮可分性、方向數據分析、多變量分析、推斷、魯棒性、形狀分析、圖像分析、空間統計和時空建模。

Kanti V. Mardia 是英國利茲大學統計學系的高級研究教授和Leverhulme名譽研究員，也是牛津大學的客座教授。在他的職業生涯中，他獲得了許多著名的榮譽，包括2003年英國皇家統計學會的銀牌Guy Medal，以及2013年美國統計學會的Wilks紀念獎章。他的研究興趣包括生物信息學、方向統計學、地球科學、圖像分析、多變量分析、形狀分析、空間統計和時空建模。

Kent和Mardia還是一本關於多變量分析的著名專著的合著者。