Erin Mills Town Centre Gift Cards are the perfect choice for your gift giving needs.Purchase gift cards at kiosks near the food court or centre court, at Guest Services, or click below to purchase online.PURCHASE HERE
Indigo Random Patterns and Structures Spatial Data | Erin Mills Town Centre
*Product information may vary - to confirm product availability, pricing, shipping and return information please contact Indigo
The book presents a general mathematical framework able to detect and to characterise, from a morphological and statistical perspective, patterns hidden in spatial data. The mathematical tools employed are Gibbs Markov processes, mainly marked point procesess with interaction, which permits us to reduce the complexity of the pattern. It presents the framework, step by step, in three major parts: modeling, simulation, and inference. Each of these parts contains a theoretical development followed by applications and examples. Features
Presents mathematical foundations for tackling pattern detection and characterisation in spatial data using marked Gibbs point processes with interactions
Includes application examples from cosmology, environmental sciences, geology, and social networks
Presents theoretical and practical details for the presented algorithms in order to be correctly and efficiently used
Provides access to C++ and R code to encourage the reader to experiment and to develop new ideas
Includes references and pointers to mathematical and applied literature to encourage further study
Random Patterns and Structures in Spatial Data is primarily aimed at researchers in mathematics, statistics, and the above-mentioned application domains. It is accessible for advanced undergraduate and graduate students and thus could be used to teach a course. It will be of interest to any scientific researcher interested in formulating a mathematical answer to the always challenging question: what is the pattern hidden in the data?
The book presents a general mathematical framework able to detect and to characterise, from a morphological and statistical perspective, patterns hidden in spatial data. The mathematical tools employed are Gibbs Markov processes, mainly marked point procesess with interaction, which permits us to reduce the complexity of the pattern. It presents the framework, step by step, in three major parts: modeling, simulation, and inference. Each of these parts contains a theoretical development followed by applications and examples. Features
Presents mathematical foundations for tackling pattern detection and characterisation in spatial data using marked Gibbs point processes with interactions
Includes application examples from cosmology, environmental sciences, geology, and social networks
Presents theoretical and practical details for the presented algorithms in order to be correctly and efficiently used
Provides access to C++ and R code to encourage the reader to experiment and to develop new ideas
Includes references and pointers to mathematical and applied literature to encourage further study
Random Patterns and Structures in Spatial Data is primarily aimed at researchers in mathematics, statistics, and the above-mentioned application domains. It is accessible for advanced undergraduate and graduate students and thus could be used to teach a course. It will be of interest to any scientific researcher interested in formulating a mathematical answer to the always challenging question: what is the pattern hidden in the data?
The largest book retailer in Canada also offers toys, music, home décor, gifts and lifestyle products. What's Inside...Books, Magazines, CD’s and DVD’s, Toys and Gifts, Home Accents, Electronics, Baby’s and Children’s Section, Bath and Body, Kitchen and Bedroom, Stationary Located outside in the exterior plaza.
