Author: A. Townsend Peterson
Publisher: Princeton University Press
ISBN: 0691136882
Category : Science
Languages : en
Pages : 330
Book Description
Terminology, conceptual overview, biogeography, modeling.
Ecological Niches and Geographic Distributions (MPB-49)
Author: A. Townsend Peterson
Publisher: Princeton University Press
ISBN: 0691136882
Category : Science
Languages : en
Pages : 330
Book Description
Terminology, conceptual overview, biogeography, modeling.
Publisher: Princeton University Press
ISBN: 0691136882
Category : Science
Languages : en
Pages : 330
Book Description
Terminology, conceptual overview, biogeography, modeling.
Spatial Analysis Methods and Practice
Author: George Grekousis
Publisher: Cambridge University Press
ISBN: 1108498981
Category : Reference
Languages : en
Pages : 535
Book Description
An introductory overview of spatial analysis and statistics through GIS, including worked examples and critical analysis of results.
Publisher: Cambridge University Press
ISBN: 1108498981
Category : Reference
Languages : en
Pages : 535
Book Description
An introductory overview of spatial analysis and statistics through GIS, including worked examples and critical analysis of results.
Mapping Species Distributions
Author: Janet Franklin
Publisher: Cambridge University Press
ISBN: 1139485296
Category : Nature
Languages : en
Pages : 538
Book Description
Maps of species' distributions or habitat suitability are required for many aspects of environmental research, resource management and conservation planning. These include biodiversity assessment, reserve design, habitat management and restoration, species and habitat conservation plans and predicting the effects of environmental change on species and ecosystems. The proliferation of methods and uncertainty regarding their effectiveness can be daunting to researchers, resource managers and conservation planners alike. Franklin summarises the methods used in species distribution modeling (also called niche modeling) and presents a framework for spatial prediction of species distributions based on the attributes (space, time, scale) of the data and questions being asked. The framework links theoretical ecological models of species distributions to spatial data on species and environment, and statistical models used for spatial prediction. Providing practical guidelines to students, researchers and practitioners in a broad range of environmental sciences including ecology, geography, conservation biology, and natural resources management.
Publisher: Cambridge University Press
ISBN: 1139485296
Category : Nature
Languages : en
Pages : 538
Book Description
Maps of species' distributions or habitat suitability are required for many aspects of environmental research, resource management and conservation planning. These include biodiversity assessment, reserve design, habitat management and restoration, species and habitat conservation plans and predicting the effects of environmental change on species and ecosystems. The proliferation of methods and uncertainty regarding their effectiveness can be daunting to researchers, resource managers and conservation planners alike. Franklin summarises the methods used in species distribution modeling (also called niche modeling) and presents a framework for spatial prediction of species distributions based on the attributes (space, time, scale) of the data and questions being asked. The framework links theoretical ecological models of species distributions to spatial data on species and environment, and statistical models used for spatial prediction. Providing practical guidelines to students, researchers and practitioners in a broad range of environmental sciences including ecology, geography, conservation biology, and natural resources management.
Protist Diversity and Geographical Distribution
Author: W. Foissner
Publisher: Springer Science & Business Media
ISBN: 9048128013
Category : Science
Languages : en
Pages : 213
Book Description
Conservation and biodiversity of protists The conservation of biodiversity is not just an issue of plants and vertebrates. It is the scarcely visible invertebrates and myriads of other microscopic organisms that are crucial to the maintenance of ecological processes on which all larger organisms and the composition of the atmosphere ultimately depend. Biodiversity and Conservation endeavours to take an holistic view of biodiversity, and when the opportunity arises to issue collections of papers dealing with too-often neglected groups of organisms. The protists, essentially eukaryotes that cannot be classi?ed in the kingdoms of animals, fungi, or plants, include some of the lea- known groups of organisms on earth. They are generally treated as a separate kingdom, commonly named Protista (or Protoctista) in textbooks, but in reality they are a mixture of organisms with disparate a?nities. Some authors have hypothesized that the numbers of protists are not especially large, and that many have extraordinarily wide distributions. However, the p- ture that unfolds from the latest studies discussed in this issue is di?erent. There are many species with wide ranges, and proportionately more cosmopolitan species than in macroorganism groups, as a result of their long evolutionary histories, but there are also de?nite patterns and geographical restrictions to be found. Further, some protists are linked to host organisms as mutualists or parasites and necessarily con?ned to the distributions of their hosts.
Publisher: Springer Science & Business Media
ISBN: 9048128013
Category : Science
Languages : en
Pages : 213
Book Description
Conservation and biodiversity of protists The conservation of biodiversity is not just an issue of plants and vertebrates. It is the scarcely visible invertebrates and myriads of other microscopic organisms that are crucial to the maintenance of ecological processes on which all larger organisms and the composition of the atmosphere ultimately depend. Biodiversity and Conservation endeavours to take an holistic view of biodiversity, and when the opportunity arises to issue collections of papers dealing with too-often neglected groups of organisms. The protists, essentially eukaryotes that cannot be classi?ed in the kingdoms of animals, fungi, or plants, include some of the lea- known groups of organisms on earth. They are generally treated as a separate kingdom, commonly named Protista (or Protoctista) in textbooks, but in reality they are a mixture of organisms with disparate a?nities. Some authors have hypothesized that the numbers of protists are not especially large, and that many have extraordinarily wide distributions. However, the p- ture that unfolds from the latest studies discussed in this issue is di?erent. There are many species with wide ranges, and proportionately more cosmopolitan species than in macroorganism groups, as a result of their long evolutionary histories, but there are also de?nite patterns and geographical restrictions to be found. Further, some protists are linked to host organisms as mutualists or parasites and necessarily con?ned to the distributions of their hosts.
Chapter 27: Spatial Distribution of Species and Ecosystems
Author: Michael Pidwirny
Publisher: Our Planet Earth Publishing
ISBN:
Category : Science
Languages : en
Pages : 64
Book Description
Chapter 27: Spatial Distribution of Species and Ecosystems of the eBook Understanding Physical Geography. This eBook was written for students taking introductory Physical Geography taught at a college or university. For the chapters currently available on Google Play presentation slides (Powerpoint and Keynote format) and multiple choice test banks are available for Professors using my eBook in the classroom. Please contact me via email at [email protected] if you would like to have access to these resources. The various chapters of the Google Play version of Understanding Physical Geography are FREE for individual use in a non-classroom environment. This has been done to support life long learning. However, the content of Understanding Physical Geography is NOT FREE for use in college and university courses in countries that have a per capita GDP over $25,000 (US dollars) per year where more than three chapters are being used in the teaching of a course. More specifically, for university and college instructors using this work in such wealthier countries, in a credit-based course where a tuition fee is accessed, students should be instructed to purchase the paid version of this content on Google Play which is organized as one of six Parts (organized chapters). One exception to this request is a situation where a student is experiencing financial hardship. In this case, the student should use the individual chapters which are available from Google Play for free. The cost of these Parts works out to only $0.99 per chapter in USA dollars, a very small fee for my work. When the entire textbook (30 chapters) is finished its cost will be only $29.70 in USA dollars. This is far less expensive than similar textbooks from major academic publishing companies whose eBook are around $50.00 to $90.00. Further, revenue generated from the sale of this academic textbook will provide “the carrot” to entice me to continue working hard creating new and updated content. Thanks in advance to instructors and students who abide by these conditions. IMPORTANT - This Google Play version is best viewed with a computer using Google Chrome, Firefox or Apple Safari browsers.
Publisher: Our Planet Earth Publishing
ISBN:
Category : Science
Languages : en
Pages : 64
Book Description
Chapter 27: Spatial Distribution of Species and Ecosystems of the eBook Understanding Physical Geography. This eBook was written for students taking introductory Physical Geography taught at a college or university. For the chapters currently available on Google Play presentation slides (Powerpoint and Keynote format) and multiple choice test banks are available for Professors using my eBook in the classroom. Please contact me via email at [email protected] if you would like to have access to these resources. The various chapters of the Google Play version of Understanding Physical Geography are FREE for individual use in a non-classroom environment. This has been done to support life long learning. However, the content of Understanding Physical Geography is NOT FREE for use in college and university courses in countries that have a per capita GDP over $25,000 (US dollars) per year where more than three chapters are being used in the teaching of a course. More specifically, for university and college instructors using this work in such wealthier countries, in a credit-based course where a tuition fee is accessed, students should be instructed to purchase the paid version of this content on Google Play which is organized as one of six Parts (organized chapters). One exception to this request is a situation where a student is experiencing financial hardship. In this case, the student should use the individual chapters which are available from Google Play for free. The cost of these Parts works out to only $0.99 per chapter in USA dollars, a very small fee for my work. When the entire textbook (30 chapters) is finished its cost will be only $29.70 in USA dollars. This is far less expensive than similar textbooks from major academic publishing companies whose eBook are around $50.00 to $90.00. Further, revenue generated from the sale of this academic textbook will provide “the carrot” to entice me to continue working hard creating new and updated content. Thanks in advance to instructors and students who abide by these conditions. IMPORTANT - This Google Play version is best viewed with a computer using Google Chrome, Firefox or Apple Safari browsers.
Spatial Analysis Methods and Practice
Author: George Grekousis
Publisher: Cambridge University Press
ISBN: 1108585507
Category : Technology & Engineering
Languages : en
Pages : 535
Book Description
This is an introductory textbook on spatial analysis and spatial statistics through GIS. Each chapter presents methods and metrics, explains how to interpret results, and provides worked examples. Topics include: describing and mapping data through exploratory spatial data analysis; analyzing geographic distributions and point patterns; spatial autocorrelation; spatial clustering; geographically weighted regression and OLS regression; and spatial econometrics. The worked examples link theory to practice through a single real-world case study, with software and illustrated guidance. Exercises are solved twice: first through ArcGIS, and then GeoDa. Through a simple methodological framework the book describes the dataset, explores spatial relations and associations, and builds models. Results are critically interpreted, and the advantages and pitfalls of using various spatial analysis methods are discussed. This is a valuable resource for graduate students and researchers analyzing geospatial data through a spatial analysis lens, including those using GIS in the environmental sciences, geography, and social sciences.
Publisher: Cambridge University Press
ISBN: 1108585507
Category : Technology & Engineering
Languages : en
Pages : 535
Book Description
This is an introductory textbook on spatial analysis and spatial statistics through GIS. Each chapter presents methods and metrics, explains how to interpret results, and provides worked examples. Topics include: describing and mapping data through exploratory spatial data analysis; analyzing geographic distributions and point patterns; spatial autocorrelation; spatial clustering; geographically weighted regression and OLS regression; and spatial econometrics. The worked examples link theory to practice through a single real-world case study, with software and illustrated guidance. Exercises are solved twice: first through ArcGIS, and then GeoDa. Through a simple methodological framework the book describes the dataset, explores spatial relations and associations, and builds models. Results are critically interpreted, and the advantages and pitfalls of using various spatial analysis methods are discussed. This is a valuable resource for graduate students and researchers analyzing geospatial data through a spatial analysis lens, including those using GIS in the environmental sciences, geography, and social sciences.
Spatial Autocorrelation and Spatial Filtering
Author: Daniel A. Griffith
Publisher: Springer Science & Business Media
ISBN: 3540248064
Category : Science
Languages : en
Pages : 261
Book Description
Scientific visualization may be defined as the transformation of numerical scientific data into informative graphical displays. The text introduces a nonverbal model to subdisciplines that until now has mostly employed mathematical or verbal-conceptual models. The focus is on how scientific visualization can help revolutionize the manner in which the tendencies for (dis)similar numerical values to cluster together in location on a map are explored and analyzed. In doing so, the concept known as spatial autocorrelation - which characterizes these tendencies - is further demystified.
Publisher: Springer Science & Business Media
ISBN: 3540248064
Category : Science
Languages : en
Pages : 261
Book Description
Scientific visualization may be defined as the transformation of numerical scientific data into informative graphical displays. The text introduces a nonverbal model to subdisciplines that until now has mostly employed mathematical or verbal-conceptual models. The focus is on how scientific visualization can help revolutionize the manner in which the tendencies for (dis)similar numerical values to cluster together in location on a map are explored and analyzed. In doing so, the concept known as spatial autocorrelation - which characterizes these tendencies - is further demystified.
Predicting Species Occurrences
Author: J. Michael Scott
Publisher: Island Press
ISBN: 9781597263054
Category : Science
Languages : en
Pages : 940
Book Description
Predictions about where different species are, where they are not, and how they move across a landscape or respond to human activities -- if timber is harvested, for instance, or stream flow altered -- are important aspects of the work of wildlife biologists, land managers, and the agencies and policymakers that govern natural resources. Despite the increased use and importance of model predictions, these predictions are seldom tested and have unknown levels of accuracy.Predicting Species Occurrences addresses those concerns, highlighting for managers and researchers the strengths and weaknesses of current approaches, as well as the magnitude of the research required to improve or test predictions of currently used models. The book is an outgrowth of an international symposium held in October 1999 that brought together scientists and researchers at the forefront of efforts to process information about species at different spatial and temporal scales. It is a comprehensive reference that offers an exhaustive treatment of the subject, with 65 chapters by leading experts from around the world that: review the history of the theory and practice of modeling and present a standard terminology examine temporal and spatial scales in terms of their influence on patterns and processes of species distribution offer detailed discussions of state-of-the-art modeling tools and descriptions of methods for assessing model accuracy discuss how to predict species presence and abundance present examples of how spatially explicit data on demographics can provide important information for managers An introductory chapter by Michael A. Huston examines the ecological context in which predictions of species occurrences are made, and a concluding chapter by John A. Wiens offers an insightful review and synthesis of the topics examined along with guidance for future directions and cautions regarding misuse of models. Other contributors include Michael P. Austin, Barry R. Noon, Alan H. Fielding, Michael Goodchild, Brian A. Maurer, John T. Rotenberry, Paul Angermeier, Pierre R. Vernier, and more than a hundred others.Predicting Species Occurrences offers important new information about many of the topics raised in the seminal volume Wildlife 2000 (University of Wisconsin Press, 1986) and will be the standard reference on this subject for years to come. Its state-of-the-art assessment will play a key role in guiding the continued development and application of tools for making accurate predictions and is an indispensable volume for anyone engaged in species management or conservation.
Publisher: Island Press
ISBN: 9781597263054
Category : Science
Languages : en
Pages : 940
Book Description
Predictions about where different species are, where they are not, and how they move across a landscape or respond to human activities -- if timber is harvested, for instance, or stream flow altered -- are important aspects of the work of wildlife biologists, land managers, and the agencies and policymakers that govern natural resources. Despite the increased use and importance of model predictions, these predictions are seldom tested and have unknown levels of accuracy.Predicting Species Occurrences addresses those concerns, highlighting for managers and researchers the strengths and weaknesses of current approaches, as well as the magnitude of the research required to improve or test predictions of currently used models. The book is an outgrowth of an international symposium held in October 1999 that brought together scientists and researchers at the forefront of efforts to process information about species at different spatial and temporal scales. It is a comprehensive reference that offers an exhaustive treatment of the subject, with 65 chapters by leading experts from around the world that: review the history of the theory and practice of modeling and present a standard terminology examine temporal and spatial scales in terms of their influence on patterns and processes of species distribution offer detailed discussions of state-of-the-art modeling tools and descriptions of methods for assessing model accuracy discuss how to predict species presence and abundance present examples of how spatially explicit data on demographics can provide important information for managers An introductory chapter by Michael A. Huston examines the ecological context in which predictions of species occurrences are made, and a concluding chapter by John A. Wiens offers an insightful review and synthesis of the topics examined along with guidance for future directions and cautions regarding misuse of models. Other contributors include Michael P. Austin, Barry R. Noon, Alan H. Fielding, Michael Goodchild, Brian A. Maurer, John T. Rotenberry, Paul Angermeier, Pierre R. Vernier, and more than a hundred others.Predicting Species Occurrences offers important new information about many of the topics raised in the seminal volume Wildlife 2000 (University of Wisconsin Press, 1986) and will be the standard reference on this subject for years to come. Its state-of-the-art assessment will play a key role in guiding the continued development and application of tools for making accurate predictions and is an indispensable volume for anyone engaged in species management or conservation.
Obligations for Research and Development, and R & D Plant, by Geographic Divisions and States by Selected Federal Agencies, Fiscal Years by Selected Federal Agencies, Fiscal Years, 1961-1964
Author: National Science Foundation (U.S.)
Publisher:
ISBN:
Category : Endowment of research
Languages : en
Pages : 666
Book Description
Publisher:
ISBN:
Category : Endowment of research
Languages : en
Pages : 666
Book Description
Spatial Analytics with ArcGIS
Author: Eric Pimpler
Publisher: Packt Publishing Ltd
ISBN: 1787124622
Category : Computers
Languages : en
Pages : 285
Book Description
Pattern Analysis and cluster mapping made easy About This Book Analyze patterns, clusters, and spatial relationships using ArcGIS tools Get up to speed in R programming to create custom tools for analysis Sift through tons of crime and real estate data and analyze it using the tools built in the book Who This Book Is For This book is for ArcGIS developers who want to perform complex geographic analysis through the use of spatial statistics tools including ArcGIS and R. No knowledge of R is assumed. What You Will Learn Get to know how to measure geographic distributions Perform clustering analysis including hot spot and outlier analysis Conduct data conversion tasks using the Utilities toolset Understand how to use the tools provided by the Mapping Clusters toolset in the Spatial Statistics Toolbox Get to grips with the basics of R for performing spatial statistical programming Create custom ArcGIS tools with R and ArcGIS Bridge Understand the application of Spatial Statistics tools and the R programming language through case studies In Detail Spatial statistics has the potential to provide insight that is not otherwise available through traditional GIS tools. This book is designed to introduce you to the use of spatial statistics so you can solve complex geographic analysis. The book begins by introducing you to the many spatial statistics tools available in ArcGIS. You will learn how to analyze patterns, map clusters, and model spatial relationships with these tools. Further on, you will explore how to extend the spatial statistics tools currently available in ArcGIS, and use the R programming language to create custom tools in ArcGIS through the ArcGIS Bridge using real-world examples. At the end of the book, you will be presented with two exciting case studies where you will be able to practically apply all your learning to analyze and gain insights into real estate data. Style and approach Filled with live examples that you can code along with, this book will show you different methods and techniques to effectively analyze spatial data with ArcGIS and the R language. The exciting case studies at the end will help you immediately put your learning to practice.
Publisher: Packt Publishing Ltd
ISBN: 1787124622
Category : Computers
Languages : en
Pages : 285
Book Description
Pattern Analysis and cluster mapping made easy About This Book Analyze patterns, clusters, and spatial relationships using ArcGIS tools Get up to speed in R programming to create custom tools for analysis Sift through tons of crime and real estate data and analyze it using the tools built in the book Who This Book Is For This book is for ArcGIS developers who want to perform complex geographic analysis through the use of spatial statistics tools including ArcGIS and R. No knowledge of R is assumed. What You Will Learn Get to know how to measure geographic distributions Perform clustering analysis including hot spot and outlier analysis Conduct data conversion tasks using the Utilities toolset Understand how to use the tools provided by the Mapping Clusters toolset in the Spatial Statistics Toolbox Get to grips with the basics of R for performing spatial statistical programming Create custom ArcGIS tools with R and ArcGIS Bridge Understand the application of Spatial Statistics tools and the R programming language through case studies In Detail Spatial statistics has the potential to provide insight that is not otherwise available through traditional GIS tools. This book is designed to introduce you to the use of spatial statistics so you can solve complex geographic analysis. The book begins by introducing you to the many spatial statistics tools available in ArcGIS. You will learn how to analyze patterns, map clusters, and model spatial relationships with these tools. Further on, you will explore how to extend the spatial statistics tools currently available in ArcGIS, and use the R programming language to create custom tools in ArcGIS through the ArcGIS Bridge using real-world examples. At the end of the book, you will be presented with two exciting case studies where you will be able to practically apply all your learning to analyze and gain insights into real estate data. Style and approach Filled with live examples that you can code along with, this book will show you different methods and techniques to effectively analyze spatial data with ArcGIS and the R language. The exciting case studies at the end will help you immediately put your learning to practice.