Last edited by Jurisar
Saturday, May 16, 2020 | History

6 edition of Spatial Optimization in Ecological Applications found in the catalog.

Spatial Optimization in Ecological Applications

by John Hof

  • 144 Want to read
  • 6 Currently reading

Published by Columbia University Press .
Written in English

    Subjects:
  • Applied ecology,
  • Ecological science, the Biosphere,
  • Linear programming,
  • Management of land & natural resources,
  • Science,
  • Sociology,
  • Ecology,
  • Life Sciences - Ecology,
  • Science / Ecology,
  • Applied,
  • Life Sciences - Biology - General,
  • Mathematical models,
  • Spatial ecology

  • The Physical Object
    FormatPaperback
    Number of Pages257
    ID Numbers
    Open LibraryOL10196209M
    ISBN 100231125453
    ISBN 109780231125451

      T1 - Spatial Optimization in Geography. AU - Tong, Daoqin. AU - Murray, Alan T. PY - /11/1. Y1 - /11/1. N2 - This article discusses spatial optimization in geography, focusing on contributions of geographers in explicit geographical contexts. An overview of spatial optimization is given, as well as illustrative by: Spatial arrangement of active prairie dog colonies within a ferret reintroduction area is optimized over time for maximum expected adult ferret population, This modeling approach is applied in an exploratory case study to a black-footed ferret reintroduction program in Badlands National Park and Buffalo Gap National Grassland, South by:

    Spatial epidemiology is the description and analysis of the geographical distribution of disease. It is more important now than ever, with modern threats such as bio-terrorism making such analysis even more complex. This second edition of Statistical Methods in Spatial Epidemiology is updated and expanded to offer a complete coverage of the analysis and application of spatial statistical methods. This can be caused either by the positive spatial autocorrelation among the locations of individual organisms due to ecological spatial processes (e.g., species dispersal, competition for space and resources) or by spatial dependence due to (positive or negative) species responses to underlying environmental by:

    Spatial simulated annealing is used to solve the resulting optimization problem and its performance is demonstrated using a real-world case study from Minnesota, United States. The case study illustrates the distinct features of the proposed model, assesses the effectiveness of the current location setting, and recommends additional stations. Book Description. 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.


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Spatial Optimization in Ecological Applications by John Hof Download PDF EPUB FB2

Spatial Optimization in Ecological Applications. Spatial Optimization in Ecological Applications. John Hof and Michael Bevers this book explains how capturing ecological relationships across a landscape with pragmatic optimization models can be applied to real world problems.

Using linear programming, Hof and Bevers show how it is. COVID Resources. Reliable information about the coronavirus (COVID) is available from the World Health Organization (current situation, international travel).Numerous and frequently-updated resource results are available from this ’s WebJunction has pulled together information and resources to assist library staff as they consider how to handle coronavirus.

Spatial Optimization in Ecological Applications by John Hof (Author), Michael Bevers (Author) ISBN ISBN Why is ISBN important. ISBN. This bar-code number lets you verify that you're getting exactly the right Spatial Optimization in Ecological Applications book or edition of a book.

Format: Paperback. Spatial Optimization in Ecological Applications Book Description: Whether discussing habitat placement for the northern spotted owl or black-tailed prairie dog or strategies for controlling exotic pests, this book explains how capturing ecological relationships across a landscape with pragmatic optimization models can be applied to real world.

When we completed Spatial Optimization for Managed Ecosystems (Hof and Bevers ), we immediately identified two shortcomings. First, although we suggested the use of optimization models for developing theoretical hypotheses about ecosystems, we presented no examples, so the point may have been lost.

in this book, we include one section devoted to this topic and point to theoretical. Get this from a library. Spatial optimization in ecological applications.

[John G Hof; Michael Bevers] -- Whether discussing habitat placement for the northern spotted owl or black-tailed prairie dog or strategies for controlling exotic pests, this book explains how capturing ecological relationships.

Spatial Optimization in Ecological Applications. by John Hof,Michael Bevers. Complexity in Ecological Systems. Share your thoughts Complete your review. Tell readers what you thought by rating and reviewing this book. Rate it * You Rated it *Brand: Columbia University Press.

Spatial Optimization in Ecological Applications (Complexity in Ecological Systems) - Kindle edition by Hof, John, Bevers, Michael. Download it once and read it on your Kindle device, PC, phones or tablets.

Use features like bookmarks, note taking and highlighting while reading Spatial Optimization in Ecological Applications (Complexity in Ecological Systems). Find many great new & used options and get the best deals for Complexity in Ecological Systems: Spatial Optimization in Ecological Applications by Michael Bevers, John Hof and John G.

Hof (, Hardcover) at the best online prices at eBay. Free shipping for many products. Read "Spatial Optimization in Ecological Applications" by John Hof available from Rakuten Kobo. Whether discussing habitat placement for the northern spotted owl or Brand: Columbia University Press. Whether discussing habitat placement for the northern spotted owl or black-tailed prairie dog or strategies for controlling exotic pests, this book explains how capturing ecological relationships across a landscape with pragmatic optimization models can be applied to real world problems.

The book “Spatial Optimization in Ecological Applications” by John G. Hof and Michael Bevers aims to provide tools to help answer these sorts of questions. In scope, it is an attempt to answer a question that all conservation ecologists should consider, "How can we best manage natural resources and develop hypotheses about ecosystems?"Author: Michael McCarthy.

Spatial Optimization i My Searches (0) My Cart Added To Cart Check Out. Menu. this book explains how capturing ecological relationships across a landscape with pragmatic optimization models can be applied to real world problems. Using linear programming, Hof and Bevers show how it is possible for the researcher to include many thousands.

Research in spatial optimization has expanded over the years. This expansion is due in part to increasing computational power and availability of computers, better general purpose commercial products like Geographical Information Systems (GIS) and optimization software, fourth generation computer language tools like visual studio and C++, and high resolution displays.

Spatial analysis is a research paradigm that provides a unique set of techniques and methods for analysing events—events in a very general sense—that are located in geographical space (see Table 1).Spatial analysis involves spatial modeling, which includes models of location-allocation, spatial interaction, spatial choice and search, spatial optimization, and space-time.

Tong and Murray () provide a comprehensive review of spatial optimization models and their applications. Spatial optimization involves formulating a geographic problem of interest into a set. Urban green space (UGS) is important in urban systems, as it benefits economic development, ecological conservation, and living conditions.

Many studies have evaluated the economic, ecological, and social value of UGS worldwide, and spatial optimization for UGS has been carried out to maximize its value.

However, few studies have simultaneously examined these three values of UGS in one Author: Yuhan Yu, Wenting Zhang, Peihong Fu, Wei Huang, Keke Li, Kai Cao.

Book January with 1, Reads How we measure 'reads' A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a. Spatial optimization is a methodology used to maximize or minimize a management objective, given the limited area, finite resources, and spatial relationships in an ecosystem.

Optimization approaches can be used to evaluate a great variety of options and allow tradeoff analyses that might be impossible with other methods. This book presents ideas and methods for directly optimizing the spatial.

DELMELLE E. SPATIAL OPTIMIZATION : B. WHARF (ED). ENCYCLOPEDIA OF HUMAN GEOGRAPHY: SPATIAL OPTIMIZATION METHODS Spatial optimization is concerned with maximizing or minimizing an objective related to a problem of geographic nature, such as route selection, location-allocation modeling, spatialFile Size: 47KB.

Multiple criteria dynamic spatial optimization to manage water quality on a watershed scale, Transaction of American Society of Agricultural Engineers, 43(2)– Google Cited by: 2.The Ecological Society of America publishes six journals with its publishing partner, John Wiley & Sons.

ESA journals are among the most widely read and cited journals in the field of ecology, and we welcome your submissions. Ecology publishes articles that report on the basic elements of ecological research.Addressing this gap, Handbook of Spatial Point-Pattern Analysis in Ecology shows how the techniques of point-pattern analysis are useful for tackling ecological problems.

Within an ecological framework, the book guides readers through a variety of methods for different data types and aids in the interpretation of the results obtained by point.