{"title":"Advances In Geographic Information Science","description":null,"products":[{"product_id":"advances-in-geocomputation-book-daniel-a-griffith-9783319794273","title":"Advances in Geocomputation","description":"This book contains refereed papers from the 13th International Conference on GeoComputation held at the University of Texas, Dallas, May 20-23, 2015. Since 1996, the members of the GeoComputation (the art and science of solving complex spatial problems with computers) community have joined together to develop a series of conferences in the United Kingdom, New Zealand, Australia, Ireland and the United States of America. The conference encourages diverse topics related to novel methodologies and technologies to enrich the future development of GeoComputation research.","brand":"WoB","offers":[{"title":"- \/ - \/ INTERNAL","offer_id":55918117224821,"sku":null,"price":0.0,"currency_code":"GBP","in_stock":true},{"title":"GB \/ NEW \/ INGRAM","offer_id":55918117290357,"sku":"NLS9783319794273","price":0.0,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0810\/6996\/5613\/files\/9783319794273.jpg?v=1757411424"},{"product_id":"random-fields-for-spatial-data-modeling-book-dionissios-t-hristopulos-9789402419160","title":"Random Fields for Spatial Data Modeling","description":"This book provides an inter-disciplinary introduction to the theory of random fields and its applications. Spatial models and spatial data analysis are integral parts of many scientific and engineering disciplines. Random fields provide a general theoretical framework for the development of spatial models and their applications in data analysis.  The contents of the book include topics from classical statistics and random field theory (regression models, Gaussian random fields, stationarity, correlation functions) spatial statistics (variogram estimation, model inference, kriging-based prediction) and statistical physics (fractals, Ising model, simulated annealing, maximum entropy, functional integral representations, perturbation and variational methods).  The book also explores links between random fields, Gaussian processes and neural networks used in machine learning. Connections with applied mathematics are highlighted by means ofmodels based on stochastic partial differential equations. An interlude on autoregressive time series provides useful lower-dimensional analogies and a connection with the classical linear harmonic oscillator. Other chapters focus on non-Gaussian random fields and stochastic simulation methods. The book also presents results based on the author’s research on Spartan random fields that were inspired by statistical field theories originating in physics. The equivalence of the one-dimensional Spartan random field model with the classical, linear, damped harmonic oscillator driven by white noise is highlighted.  Ideas with potentially significant computational gains for the processing of big spatial data are presented and discussed. The final chapter concludes with a description of the Karhunen-Loève expansion of the Spartan model.  The book will appeal to engineers, physicists, and geoscientists whose research involves spatial models or spatialdata analysis. Anyone with background in probability and statistics can read at least parts of the book. Some chapters will be easier to understand by readers familiar with differential equations and Fourier transforms.","brand":"WoB","offers":[{"title":"GB \/ NEW \/ GARDNERS","offer_id":56496193208693,"sku":"NGR9789402419160","price":0.0,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0810\/6996\/5613\/files\/9789402419160.jpg?v=1766091482"},{"product_id":"agent-based-models-and-complexity-science-in-the-age-of-geospatial-big-data-book-liliana-perez-9783319659923","title":"Agent-Based Models and Complexity Science in the Age of Geospatial Big Data","description":"This book contains a selection of papers presented during a special workshop on Complexity Science organized as part of the 9th International Conference on GIScience 2016. Expert researchers in the areas of Agent-Based Modeling, Complexity Theory, Network Theory, Big Data, and emerging methods of Analysis and Visualization for new types of data explore novel complexity science approaches to dynamic geographic phenomena and their applications, addressing challenges and enriching research methodologies in geography in a Big Data Era.","brand":"WoB","offers":[{"title":"US \/ NEW \/ INGRAM","offer_id":56979624624501,"sku":"NIN9783319659923","price":0.0,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0810\/6996\/5613\/files\/9783319659923.jpg?v=1774210527"},{"product_id":"advances-in-spatial-data-handling-book-sabine-timpf-9783642323157","title":"Advances in Spatial Data Handling","description":"This volume is based on the reviewed and edited proceedings of the International Symposium on Spatial Data Handling 2012, held in Bonn. 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Rather than treating the North as a uniform periphery, the book foregrounds spatial heterogeneity in exposure, vulnerability, and adaptive capacity, demonstrating how “wicked problems” emerge through interconnected systems of mobility, services, food procurement, and ecological transformation. It combines GIScience, regional science, and spatial analysis to translate complex realities into decision-relevant insight, including approaches spanning remote sensing, spatial vulnerability assessment, and network-based measures of connectivity.   Across the chapters, the volume examines Arctic urbanization and institutional “anchoring,” vegetation regime shifts such as shrubification, food scarcity and Inuit food sovereignty in Nunavut, health and service accessibility under digital constraints, environmental monitoring and decision support, and the structural fragmentation of transportation networks—where many Nunavut communities remain effectively road-isolated beyond the immediate settlement footprint. It also positions heritage preservation, Indigenous knowledge systems, and Indigenous data sovereignty as central, rather than ancillary, to resilience planning. The concluding synthesis advances “spatial intelligence” beyond mapping: an integrative framework for equity, resilience, and sovereignty in Northern Canada.","brand":"WoB","offers":[{"title":"- \/ - \/ INTERNAL","offer_id":57269516534133,"sku":null,"price":0.0,"currency_code":"GBP","in_stock":true},{"title":"GB \/ NEW \/ GARDNERS","offer_id":57269517910389,"sku":"NGR9783032192103","price":0.0,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0810\/6996\/5613\/files\/9783032192103.jpg?v=1780896024"}],"url":"https:\/\/stage.worldofbooks.com\/en-gb\/collections\/advances-in-geographic-information-science-book-series.oembed","provider":"World of Books Staging","version":"1.0","type":"link"}