6 edition of Spatial Uncertainty in Ecology found in the catalog.
June 29, 2001
Written in English
|Contributions||Carolyn T. Hunsaker (Editor), Michael F. Goodchild (Editor), Mark A. Friedl (Editor), Ted J. Case (Editor)|
|The Physical Object|
|Number of Pages||424|
The Garland Science website is no longer available to access and you have been automatically redirected to INSTRUCTORS. All instructor resources (*see Exceptions) are now available on our Instructor instructor credentials will not grant access to the Hub, but existing and new users may request access student resources previously . 1. Introduction. The term “ecology” was coined by the German zoologist, Ernst Haeckel, in to describe the “economies” of living forms.  The theoretical practice of ecology consists, by and large, of the construction of models of the interaction of living systems with their environment (including other living systems).  These models are then tested in the laboratory and the field.
The purpose of this funding opportunity announcement (FOA) is to support innovative research that identifies sources of spatial uncertainty (i.e., inaccuracy or instability of spatial or geographic information) in public health data, incorporates the inaccuracy or instability into statistical methods, and develops novel tools to visualize the nature and consequences of spatial uncertainty. Spatial analysis or spatial statistics includes any of the formal techniques which studies entities using their topological, geometric, or geographic properties. Spatial analysis includes a variety of techniques, many still in their early development, using different analytic approaches and applied in fields as diverse as astronomy, with its studies of the placement of galaxies in the cosmos.
From the reviews: "The book is an interesting and eminently comprehensible manuscript with separate, individually complete and very comprehensible, chapters organized on three parts.! a book which should be on the desk of all those directly concerned not only with landscape ecology but also for all researchers dealing with scaling in ecology and management."Price Range: £ - £ For researchers, this book presents a snapshot of the state-of-the-art of uncertainty assessment, providing theoretical chapters based in classical and spatial statistics. Editorial Reviews Most of the 17 papers were selected from contributions to a international symposium in Fort Collins, Colorado; the others were invited to cover Pages:
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This is the first book to take an ecological perspective on uncertainty in spatial data. It applies principles and techniques from geography and other disciplines to ecological research. It brings the tools of cartography, cognition, spatial statistics, remote sensing and computer sciences to.
This is one of the first books to take an ecological perspective on uncertainty in spatial data. It applies principles and techniques from geography and other disciplines to ecological research, and thus delivers the tools of cartography, cognition, spatial statistics, remote sensing and computer sciences by way of spatial data.
After describing the uses of such data in ecological research 3/5(1). This is one of the first books to take an ecological perspective on uncertainty in spatial data. It applies principles and techniques from geography and other disciplines to ecological research, and thus delivers the tools of cartography, cognition, spatial statistics, remote sensing and computer sciences by way of Manufacturer: Springer.
Buy Spatial Uncertainty in Ecology (): Implications for Remote Sensing and GIS Application: NHBS - Edited By: C Hunsaker, M Goodchild, M Friedl and T Case, Springer Nature. : Spatial Uncertainty in Ecology: Implications For Remote Sensing And Gis Applications (): Carolyn T.
Hunsaker: Books. Spatial Ecology and a great selection of related books, This title is now printed on demand - please allow added time for shipment. A Brand New Quality Book from a Full-Time Veteran Owned Bookshop in business since !.
Seller Inventory # Spatial Uncertainty in Ecology. Carolyn T. Hunsaker. Published by Springer. Spatial Uncertainty in Ecology: Implications for Remote Sensing and Gis Applications, Paperback by Hunsaker, Carolyn T.
(EDT); Goodchild, Michael F. (EDT); Friedl, Mark A. (EDT); Case, Ted J. (EDT), ISBNISBNBrand New, Free shipping in the US This is one of the first books to take an ecological perspective on uncertainty in spatial data. Get this from a library.
Spatial uncertainty in ecology: implications for remote sensing and GIS applications. [Carolyn T Hunsaker;] -- The huge growth in the use of geographic information systems, remote sensing platforms and spatial databases have made accurate spatial data more available for ecological and environmental models.
It seems appropriate that a book concerned with understanding spatial uncertainty in the context of ecology should contain a chapter that discusses cognitive issues. This is the first book to take an ecological perspective on uncertainty in spatial data. It applies principles and techniques from geography and other disciplines to ecological research.
Carolyn Hunsaker (US Forest Service) deserves credit for initiating this project and for sharing a draft of “Spatial Uncertainty in Ecology.” We thank Barbara Jackson and Tom Ashwood for lively discussions about spatial uncertainty.
We appreciate reviews of the manuscript by Marie-Josée Fortin, Monica Turner, and anonymous by: book. Spatial uncertainty in ecology largely avoids these po- tential pitfalls by not attempting to be the definitive volume on the limitations of spatial data and the issues involved in incorporating spatial data into ecological studies.
This is not to say the book is not comprehensive; it does, in fact, cover. The use and uncertainty of spatial data for landscape models: An overview with examples from the Florida Everglades.
Edited by Hunsaker, C.; Goodchild, M.; Friedl, M.; Case T. Introduction and Overview * Use of Spatial Data in Ecological Analysis Spatial Ecological Models * Coastal Sage Scrub Case Study * Incorporating Uncertainties in Animal Location and Map Classification into Habitat Relationships Modeling * Generic Issues Regarding Uncertainty in Spatial Data * METHODS Mapping Ecological Uncertainty * A Cognitive.
Much research in landscape ecology makes use of spatial models to define species-habitat associations. The early years of landscape ecology necessarily focused on the evolution of effective data sources, metrics, and statistical approaches that could truly capture the spatial and temporal patterns and processes of interest.
Geostatistics: Modeling Spatial Uncertainty, Second Edition presents a comprehensive, up-to-date reference on the topic, now featuring the latest developments in the field. The authors explain both the theory and applications of geostatistics through a unified treatment that emphasizes methodology.
A synthesis of contemporary analytical and modeling approaches in population ecology The book provides an overview of the key analytical approaches that are currently used in demographic, genetic, and spatial analyses in population ecology.
The chapters present current problems, introduce advances in analytical methods and models, and demonstrate the applications of quantitative methods to. Summary. Exploring the relationship between mathematics and ecology, Spatial Ecology focuses on some important emerging challenges in the field.
These challenges consist of understanding the impact of space on community structure, incorporating the scale and structure of landscapes into mathematical models, and developing connections between spatial ecology and evolutionary theory.
Ecology and Evolution manuscript ID: ECE Read Abstract. There was a larger range of uncertainty when wetlands were modelled across all subwatersheds than when the entire wetland area was modelled at the outlet. These results may indicate that wetland position is as important as wetland amount in terms of nutrient reductions.
This book presents a comprehensive and up-to-date review and synthesis of concepts, theories, methods and case studies in scaling and uncertainty analysis in ecology and related fields. Various definitions and ideas concerning scale are compared and contrasted in a coherent framework, and two general scaling approaches, similarity-based scaling.
Spatial ecology studies the ultimate distributional or spatial unit occupied by a a particular habitat shared by several species, each of the species is usually confined to its own microhabitat or spatial niche because two species in the same general territory cannot usually occupy the same ecological niche for any significant length of time.
Geostatistics: Modeling Spatial Uncertainty, Second Edition presents a comprehensive, up-to-date reference on the topic, now featuring the latest developments in the field. The authors explain both the theory and applications of geostatistics through a unified treatment that Pages: Buy Mapping Species Distributions: Spatial Inference and Prediction (Ecology, Biodiversity and Conservation) by Franklin, Janet (ISBN: ) from Amazon's Book Store.
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