Occupancy estimation and modeling :: inferring patterns and dynamics of species occurrence /
Gespeichert in:
| Weitere Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Amsterdam ; Boston :
Elsevier/Academic Press,
©2006.
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Beschreibung: | 1 online resource (xviii, 324 pages) : illustrations, maps |
| Bibliographie: | Includes bibliographical references (pages 293-312). |
| ISBN: | 0080455042 9780080455044 1280628499 9781280628498 |
Internformat
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| 245 | 0 | 0 | |a Occupancy estimation and modeling : |b inferring patterns and dynamics of species occurrence / |c Darryl I. MacKenzie [and others]. |
| 260 | |a Amsterdam ; |a Boston : |b Elsevier/Academic Press, |c ©2006. | ||
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| 504 | |a Includes bibliographical references (pages 293-312). | ||
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| 505 | 0 | |a Cover -- Table of Contents -- Preface -- Acknowledgments -- CHAPTER 1: Introduction -- 1.1. OPERATIONAL DEFINITIONS -- 1.2. SAMPLING ANIMAL POPULATIONS AND COMMUNITIES: GENERAL PRINCIPLES -- WHY? -- WHAT? -- HOW? -- 1.3. INFERENCE ABOUT DYNAMICS AND CAUSATION -- GENERATION OF SYSTEM DYNAMICS -- STATICS AND PROCESS VS. PATTERN -- 1.4. DISCUSSION -- CHAPTER 2: Occupancy in Ecological Investigations -- 2.1. GEOGRAPHIC RANGE -- 2.2. HABITAT RELATIONSHIPS AND RESOURCE SELECTION -- 2.3. METAPOPULATION DYNAMICS -- INFERENCE BASED ON SINGLE-SEASON DATA -- INFERENCE BASED ON MULTIPLE-SEASON DATA -- 2.4. LARGE-SCALE MONITORING -- 2.5. MULTISPECIES OCCUPANCY DATA -- INFERENCE BASED ON STATIC OCCUPANCY PATTERNS -- INFERENCE BASED ON OCCUPANCY DYNAMICS -- 2.6. DISCUSSION -- CHAPTER 3: Fundamental Principles of Statistical Inference -- 3.1. DEFINITIONS AND KEY CONCEPTS -- RANDOM VARIABLES, PROBABILITY DISTRIBUTIONS, AND THE LIKELIHOOD FUNCTION -- EXPECTED VALUES -- INTRODUCTION TO METHODS OF ESTIMATION -- PROPERTIES OF POINT ESTIMATORS -- COMPUTER-INTENSIVE METHODS -- 3.2. MAXIMUM LIKELIHOOD ESTIMATION METHODS -- MAXIMUM LIKELIHOOD ESTIMATORS -- PROPERTIES OF MAXIMUM LIKELIHOOD ESTIMATORS -- VARIANCES, COVARIANCE (AND STANDARD ERROR) ESTIMATION -- CONFIDENCE INTERVAL ESTIMATORS -- 3.3. BAYESIAN METHODS OF ESTIMATION -- THEORY -- COMPUTING METHODS -- 3.4. MODELING AUXILIARY VARIABLES -- THE LOGIT LINK FUNCTION -- ESTIMATION -- 3.5. HYPOTHESIS TESTING -- BACKGROUND AND DEFINITIONS -- LIKELIHOOD RATIO TESTS -- GOODNESS OF FIT TESTS -- 3.6. MODEL SELECTION -- THE AKAIKE INFORMATION CRITERION (AIC) -- GOODNESS OF FIT AND OVERDISPERSION -- QUASI-AIC -- MODEL AVERAGING AND MODEL SELECTION UNCERTAINTY -- 3.7. DISCUSSION -- CHAPTER 4: Single-species, Single-season Occupancy Models -- 4.1. THE SAMPLING SITUATION -- 4.2. ESTIMATION OF OCCUPANCY IF PROBABILITY OF DETECTION IS 1 OR KNOWN WITHOUT ERROR -- 4.3. TWO-STEP AD HOC APPROACHES -- GEISSLER-FULLER METHOD -- AZUMA-BALDWIN-NOON METHOD -- NICHOLS-KARANTH METHOD -- 4.4. MODEL-BASED APPROACH -- BUILDING A MODEL -- ESTIMATION -- EXAMPLE: BLUE-RIDGE TWO-LINED SALAMANDERS -- MISSING OBSERVATIONS -- COVARIATE MODELING -- VIOLATIONS OF MODEL ASSUMPTIONS -- ASSESSING MODEL FIT -- EXAMPLES -- 4.5. ESTIMATING OCCUPANCY FOR A FINITE POPULATION OR SMALL AREA -- PREDICTION OF UNOBSERVED OCCUPANCY STATE -- A BAYESIAN FORMULATION OF THE MODEL -- BLUE-RIDGE TWO-LINED SALAMANDERS REVISITED -- 4.6. DISCUSSION -- CHAPTER 5: Single-species, Single-season Models with Heterogeneous Detection Probabilities -- 5.1. SITE OCCUPANCY MODELS WITH HETEROGENEOUS DETECTION -- GENERAL FORMULATION -- FINITE MIXTURES -- CONTINUOUS MIXTURES -- ABUNDANCE MODELS -- MODEL FIT -- 5.2. EXAMPLE: BRE. | |
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| 700 | 1 | |a MacKenzie, Darryl I. | |
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| adam_text | |
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| contents | Cover -- Table of Contents -- Preface -- Acknowledgments -- CHAPTER 1: Introduction -- 1.1. OPERATIONAL DEFINITIONS -- 1.2. SAMPLING ANIMAL POPULATIONS AND COMMUNITIES: GENERAL PRINCIPLES -- WHY? -- WHAT? -- HOW? -- 1.3. INFERENCE ABOUT DYNAMICS AND CAUSATION -- GENERATION OF SYSTEM DYNAMICS -- STATICS AND PROCESS VS. PATTERN -- 1.4. DISCUSSION -- CHAPTER 2: Occupancy in Ecological Investigations -- 2.1. GEOGRAPHIC RANGE -- 2.2. HABITAT RELATIONSHIPS AND RESOURCE SELECTION -- 2.3. METAPOPULATION DYNAMICS -- INFERENCE BASED ON SINGLE-SEASON DATA -- INFERENCE BASED ON MULTIPLE-SEASON DATA -- 2.4. LARGE-SCALE MONITORING -- 2.5. MULTISPECIES OCCUPANCY DATA -- INFERENCE BASED ON STATIC OCCUPANCY PATTERNS -- INFERENCE BASED ON OCCUPANCY DYNAMICS -- 2.6. DISCUSSION -- CHAPTER 3: Fundamental Principles of Statistical Inference -- 3.1. DEFINITIONS AND KEY CONCEPTS -- RANDOM VARIABLES, PROBABILITY DISTRIBUTIONS, AND THE LIKELIHOOD FUNCTION -- EXPECTED VALUES -- INTRODUCTION TO METHODS OF ESTIMATION -- PROPERTIES OF POINT ESTIMATORS -- COMPUTER-INTENSIVE METHODS -- 3.2. MAXIMUM LIKELIHOOD ESTIMATION METHODS -- MAXIMUM LIKELIHOOD ESTIMATORS -- PROPERTIES OF MAXIMUM LIKELIHOOD ESTIMATORS -- VARIANCES, COVARIANCE (AND STANDARD ERROR) ESTIMATION -- CONFIDENCE INTERVAL ESTIMATORS -- 3.3. BAYESIAN METHODS OF ESTIMATION -- THEORY -- COMPUTING METHODS -- 3.4. MODELING AUXILIARY VARIABLES -- THE LOGIT LINK FUNCTION -- ESTIMATION -- 3.5. HYPOTHESIS TESTING -- BACKGROUND AND DEFINITIONS -- LIKELIHOOD RATIO TESTS -- GOODNESS OF FIT TESTS -- 3.6. MODEL SELECTION -- THE AKAIKE INFORMATION CRITERION (AIC) -- GOODNESS OF FIT AND OVERDISPERSION -- QUASI-AIC -- MODEL AVERAGING AND MODEL SELECTION UNCERTAINTY -- 3.7. DISCUSSION -- CHAPTER 4: Single-species, Single-season Occupancy Models -- 4.1. THE SAMPLING SITUATION -- 4.2. ESTIMATION OF OCCUPANCY IF PROBABILITY OF DETECTION IS 1 OR KNOWN WITHOUT ERROR -- 4.3. TWO-STEP AD HOC APPROACHES -- GEISSLER-FULLER METHOD -- AZUMA-BALDWIN-NOON METHOD -- NICHOLS-KARANTH METHOD -- 4.4. MODEL-BASED APPROACH -- BUILDING A MODEL -- ESTIMATION -- EXAMPLE: BLUE-RIDGE TWO-LINED SALAMANDERS -- MISSING OBSERVATIONS -- COVARIATE MODELING -- VIOLATIONS OF MODEL ASSUMPTIONS -- ASSESSING MODEL FIT -- EXAMPLES -- 4.5. ESTIMATING OCCUPANCY FOR A FINITE POPULATION OR SMALL AREA -- PREDICTION OF UNOBSERVED OCCUPANCY STATE -- A BAYESIAN FORMULATION OF THE MODEL -- BLUE-RIDGE TWO-LINED SALAMANDERS REVISITED -- 4.6. DISCUSSION -- CHAPTER 5: Single-species, Single-season Models with Heterogeneous Detection Probabilities -- 5.1. SITE OCCUPANCY MODELS WITH HETEROGENEOUS DETECTION -- GENERAL FORMULATION -- FINITE MIXTURES -- CONTINUOUS MIXTURES -- ABUNDANCE MODELS -- MODEL FIT -- 5.2. EXAMPLE: BRE. |
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| publisher | Elsevier/Academic Press, |
| record_format | marc |
| spelling | Occupancy estimation and modeling : inferring patterns and dynamics of species occurrence / Darryl I. MacKenzie [and others]. Amsterdam ; Boston : Elsevier/Academic Press, ©2006. 1 online resource (xviii, 324 pages) : illustrations, maps text txt rdacontent computer c rdamedia online resource cr rdacarrier Includes bibliographical references (pages 293-312). Print version record. Cover -- Table of Contents -- Preface -- Acknowledgments -- CHAPTER 1: Introduction -- 1.1. OPERATIONAL DEFINITIONS -- 1.2. SAMPLING ANIMAL POPULATIONS AND COMMUNITIES: GENERAL PRINCIPLES -- WHY? -- WHAT? -- HOW? -- 1.3. INFERENCE ABOUT DYNAMICS AND CAUSATION -- GENERATION OF SYSTEM DYNAMICS -- STATICS AND PROCESS VS. PATTERN -- 1.4. DISCUSSION -- CHAPTER 2: Occupancy in Ecological Investigations -- 2.1. GEOGRAPHIC RANGE -- 2.2. HABITAT RELATIONSHIPS AND RESOURCE SELECTION -- 2.3. METAPOPULATION DYNAMICS -- INFERENCE BASED ON SINGLE-SEASON DATA -- INFERENCE BASED ON MULTIPLE-SEASON DATA -- 2.4. LARGE-SCALE MONITORING -- 2.5. MULTISPECIES OCCUPANCY DATA -- INFERENCE BASED ON STATIC OCCUPANCY PATTERNS -- INFERENCE BASED ON OCCUPANCY DYNAMICS -- 2.6. DISCUSSION -- CHAPTER 3: Fundamental Principles of Statistical Inference -- 3.1. DEFINITIONS AND KEY CONCEPTS -- RANDOM VARIABLES, PROBABILITY DISTRIBUTIONS, AND THE LIKELIHOOD FUNCTION -- EXPECTED VALUES -- INTRODUCTION TO METHODS OF ESTIMATION -- PROPERTIES OF POINT ESTIMATORS -- COMPUTER-INTENSIVE METHODS -- 3.2. MAXIMUM LIKELIHOOD ESTIMATION METHODS -- MAXIMUM LIKELIHOOD ESTIMATORS -- PROPERTIES OF MAXIMUM LIKELIHOOD ESTIMATORS -- VARIANCES, COVARIANCE (AND STANDARD ERROR) ESTIMATION -- CONFIDENCE INTERVAL ESTIMATORS -- 3.3. BAYESIAN METHODS OF ESTIMATION -- THEORY -- COMPUTING METHODS -- 3.4. MODELING AUXILIARY VARIABLES -- THE LOGIT LINK FUNCTION -- ESTIMATION -- 3.5. HYPOTHESIS TESTING -- BACKGROUND AND DEFINITIONS -- LIKELIHOOD RATIO TESTS -- GOODNESS OF FIT TESTS -- 3.6. MODEL SELECTION -- THE AKAIKE INFORMATION CRITERION (AIC) -- GOODNESS OF FIT AND OVERDISPERSION -- QUASI-AIC -- MODEL AVERAGING AND MODEL SELECTION UNCERTAINTY -- 3.7. DISCUSSION -- CHAPTER 4: Single-species, Single-season Occupancy Models -- 4.1. THE SAMPLING SITUATION -- 4.2. ESTIMATION OF OCCUPANCY IF PROBABILITY OF DETECTION IS 1 OR KNOWN WITHOUT ERROR -- 4.3. TWO-STEP AD HOC APPROACHES -- GEISSLER-FULLER METHOD -- AZUMA-BALDWIN-NOON METHOD -- NICHOLS-KARANTH METHOD -- 4.4. MODEL-BASED APPROACH -- BUILDING A MODEL -- ESTIMATION -- EXAMPLE: BLUE-RIDGE TWO-LINED SALAMANDERS -- MISSING OBSERVATIONS -- COVARIATE MODELING -- VIOLATIONS OF MODEL ASSUMPTIONS -- ASSESSING MODEL FIT -- EXAMPLES -- 4.5. ESTIMATING OCCUPANCY FOR A FINITE POPULATION OR SMALL AREA -- PREDICTION OF UNOBSERVED OCCUPANCY STATE -- A BAYESIAN FORMULATION OF THE MODEL -- BLUE-RIDGE TWO-LINED SALAMANDERS REVISITED -- 4.6. DISCUSSION -- CHAPTER 5: Single-species, Single-season Models with Heterogeneous Detection Probabilities -- 5.1. SITE OCCUPANCY MODELS WITH HETEROGENEOUS DETECTION -- GENERAL FORMULATION -- FINITE MIXTURES -- CONTINUOUS MIXTURES -- ABUNDANCE MODELS -- MODEL FIT -- 5.2. EXAMPLE: BRE. Animal populations Estimates. http://id.loc.gov/authorities/subjects/sh2003004811 Animal populations Mathematical models. Animals Population Dynamics Models, Statistical Animaux Populations Estimation. Animaux Populations Modèles mathématiques. SCIENCE Life Sciences Zoology General. bisacsh Animal populations Estimates fast Animal populations Mathematical models fast MacKenzie, Darryl I. has work: Occupancy estimation and modeling (Text) https://id.oclc.org/worldcat/entity/E39PCG6QMgQRD8MKp7XFjhTDVP https://id.oclc.org/worldcat/ontology/hasWork Print version: Occupancy estimation and modeling. Amsterdam ; Boston : Elsevier/Academic Press, ©2006 0120887665 (DLC) 2005051372 (OCoLC)60856266 FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=166224 Volltext |
| spellingShingle | Occupancy estimation and modeling : inferring patterns and dynamics of species occurrence / Cover -- Table of Contents -- Preface -- Acknowledgments -- CHAPTER 1: Introduction -- 1.1. OPERATIONAL DEFINITIONS -- 1.2. SAMPLING ANIMAL POPULATIONS AND COMMUNITIES: GENERAL PRINCIPLES -- WHY? -- WHAT? -- HOW? -- 1.3. INFERENCE ABOUT DYNAMICS AND CAUSATION -- GENERATION OF SYSTEM DYNAMICS -- STATICS AND PROCESS VS. PATTERN -- 1.4. DISCUSSION -- CHAPTER 2: Occupancy in Ecological Investigations -- 2.1. GEOGRAPHIC RANGE -- 2.2. HABITAT RELATIONSHIPS AND RESOURCE SELECTION -- 2.3. METAPOPULATION DYNAMICS -- INFERENCE BASED ON SINGLE-SEASON DATA -- INFERENCE BASED ON MULTIPLE-SEASON DATA -- 2.4. LARGE-SCALE MONITORING -- 2.5. MULTISPECIES OCCUPANCY DATA -- INFERENCE BASED ON STATIC OCCUPANCY PATTERNS -- INFERENCE BASED ON OCCUPANCY DYNAMICS -- 2.6. DISCUSSION -- CHAPTER 3: Fundamental Principles of Statistical Inference -- 3.1. DEFINITIONS AND KEY CONCEPTS -- RANDOM VARIABLES, PROBABILITY DISTRIBUTIONS, AND THE LIKELIHOOD FUNCTION -- EXPECTED VALUES -- INTRODUCTION TO METHODS OF ESTIMATION -- PROPERTIES OF POINT ESTIMATORS -- COMPUTER-INTENSIVE METHODS -- 3.2. MAXIMUM LIKELIHOOD ESTIMATION METHODS -- MAXIMUM LIKELIHOOD ESTIMATORS -- PROPERTIES OF MAXIMUM LIKELIHOOD ESTIMATORS -- VARIANCES, COVARIANCE (AND STANDARD ERROR) ESTIMATION -- CONFIDENCE INTERVAL ESTIMATORS -- 3.3. BAYESIAN METHODS OF ESTIMATION -- THEORY -- COMPUTING METHODS -- 3.4. MODELING AUXILIARY VARIABLES -- THE LOGIT LINK FUNCTION -- ESTIMATION -- 3.5. HYPOTHESIS TESTING -- BACKGROUND AND DEFINITIONS -- LIKELIHOOD RATIO TESTS -- GOODNESS OF FIT TESTS -- 3.6. MODEL SELECTION -- THE AKAIKE INFORMATION CRITERION (AIC) -- GOODNESS OF FIT AND OVERDISPERSION -- QUASI-AIC -- MODEL AVERAGING AND MODEL SELECTION UNCERTAINTY -- 3.7. DISCUSSION -- CHAPTER 4: Single-species, Single-season Occupancy Models -- 4.1. THE SAMPLING SITUATION -- 4.2. ESTIMATION OF OCCUPANCY IF PROBABILITY OF DETECTION IS 1 OR KNOWN WITHOUT ERROR -- 4.3. TWO-STEP AD HOC APPROACHES -- GEISSLER-FULLER METHOD -- AZUMA-BALDWIN-NOON METHOD -- NICHOLS-KARANTH METHOD -- 4.4. MODEL-BASED APPROACH -- BUILDING A MODEL -- ESTIMATION -- EXAMPLE: BLUE-RIDGE TWO-LINED SALAMANDERS -- MISSING OBSERVATIONS -- COVARIATE MODELING -- VIOLATIONS OF MODEL ASSUMPTIONS -- ASSESSING MODEL FIT -- EXAMPLES -- 4.5. ESTIMATING OCCUPANCY FOR A FINITE POPULATION OR SMALL AREA -- PREDICTION OF UNOBSERVED OCCUPANCY STATE -- A BAYESIAN FORMULATION OF THE MODEL -- BLUE-RIDGE TWO-LINED SALAMANDERS REVISITED -- 4.6. DISCUSSION -- CHAPTER 5: Single-species, Single-season Models with Heterogeneous Detection Probabilities -- 5.1. SITE OCCUPANCY MODELS WITH HETEROGENEOUS DETECTION -- GENERAL FORMULATION -- FINITE MIXTURES -- CONTINUOUS MIXTURES -- ABUNDANCE MODELS -- MODEL FIT -- 5.2. EXAMPLE: BRE. Animal populations Estimates. http://id.loc.gov/authorities/subjects/sh2003004811 Animal populations Mathematical models. Animals Population Dynamics Models, Statistical Animaux Populations Estimation. Animaux Populations Modèles mathématiques. SCIENCE Life Sciences Zoology General. bisacsh Animal populations Estimates fast Animal populations Mathematical models fast |
| subject_GND | http://id.loc.gov/authorities/subjects/sh2003004811 |
| title | Occupancy estimation and modeling : inferring patterns and dynamics of species occurrence / |
| title_auth | Occupancy estimation and modeling : inferring patterns and dynamics of species occurrence / |
| title_exact_search | Occupancy estimation and modeling : inferring patterns and dynamics of species occurrence / |
| title_full | Occupancy estimation and modeling : inferring patterns and dynamics of species occurrence / Darryl I. MacKenzie [and others]. |
| title_fullStr | Occupancy estimation and modeling : inferring patterns and dynamics of species occurrence / Darryl I. MacKenzie [and others]. |
| title_full_unstemmed | Occupancy estimation and modeling : inferring patterns and dynamics of species occurrence / Darryl I. MacKenzie [and others]. |
| title_short | Occupancy estimation and modeling : |
| title_sort | occupancy estimation and modeling inferring patterns and dynamics of species occurrence |
| title_sub | inferring patterns and dynamics of species occurrence / |
| topic | Animal populations Estimates. http://id.loc.gov/authorities/subjects/sh2003004811 Animal populations Mathematical models. Animals Population Dynamics Models, Statistical Animaux Populations Estimation. Animaux Populations Modèles mathématiques. SCIENCE Life Sciences Zoology General. bisacsh Animal populations Estimates fast Animal populations Mathematical models fast |
| topic_facet | Animal populations Estimates. Animal populations Mathematical models. Animals Population Dynamics Models, Statistical Animaux Populations Estimation. Animaux Populations Modèles mathématiques. SCIENCE Life Sciences Zoology General. Animal populations Estimates Animal populations Mathematical models |
| url | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=166224 |
| work_keys_str_mv | AT mackenziedarryli occupancyestimationandmodelinginferringpatternsanddynamicsofspeciesoccurrence |