scholarly journals Recommended survey designs for occupancy modelling using motion-activated cameras: insights from empirical wildlife data

PeerJ ◽  
2014 ◽  
Vol 2 ◽  
pp. e532 ◽  
Author(s):  
Graeme Shannon ◽  
Jesse S. Lewis ◽  
Brian D. Gerber
Keyword(s):  
Occupancy Modelling ◽  
Survey Designs

Descriptive Research Design

2018 ◽  
Author(s):  
Peter Miksza ◽  
Kenneth Elpus
Keyword(s):  
Music Education ◽  
Research Design ◽  
Teaching And Learning ◽  
Observational Research ◽  
Descriptive Research ◽  
Entry Points ◽  
The Status ◽  
Scientific Endeavor ◽  
Design Options ◽  
Survey Designs

This chapter presents two of the most prominent approaches to the design of descriptive research in music education. Simply creating depictions of music teaching and learning experiences that are organized and illustrative of the variation that can exist in any given setting is a worthwhile scientific endeavor in and of itself. Descriptive research is most typically an exploration of what is, what exists, and/or the status of any given topic of interest. The first section deals with basic steps in observational research designs, and the second section outlines critical features of survey designs. These fundamental research design options are excellent entry points for emerging scholars and when employed imaginatively can yield many benefits for the profession.

scholarly journals A stepwise-selected spline approximation to time-varying parameters, with application to occupancy modelling

2012 ◽  
Vol 4 (2) ◽  
pp. 123-132 ◽  
Author(s):  
James T. Thorson ◽  
Shijie Zhou ◽  
André E. Punt ◽  
Anthony D. M. Smith
Keyword(s):  
Spline Approximation ◽  
Time Varying ◽  
Occupancy Modelling ◽  
Varying Parameters ◽  
Time Varying Parameters

Using environmental DNA and occupancy modelling to identify drivers of eastern hellbender (Cryptobranchus alleganiensis alleganiensis) extirpation

2018 ◽  
Vol 64 (1) ◽  
pp. 208-221 ◽  
Author(s):  
Sean M. Wineland ◽  
Shane M. Welch ◽  
Thomas K. Pauley ◽  
Joseph J. Apodaca ◽  
Max Olszack ◽  
...  
Keyword(s):  
Environmental Dna ◽  
Occupancy Modelling ◽  
Cryptobranchus Alleganiensis ◽  
Eastern Hellbender

scholarly journals Correction to: Trend estimation for complex survey designs of water chemistry indicators from Sierra Nevada Lakes

2018 ◽  
Vol 190 (11) ◽  
Author(s):  
L. A. H. Starcevich ◽  
T. McDonald ◽  
A. Chung-MacCoubrey ◽  
A. Heard ◽  
J. Nesmith ◽  
...  
Keyword(s):  
Water Chemistry ◽  
Sierra Nevada ◽  
Complex Survey ◽  
Trend Estimation ◽  
Survey Designs

scholarly journals Prior specification in Bayesian occupancy modelling improves analysis of species occurrence data

2018 ◽  
Vol 93 ◽  
pp. 333-343 ◽  
Author(s):  
Charlotte L. Outhwaite ◽  
Richard E. Chandler ◽  
Gary D. Powney ◽  
Ben Collen ◽  
Richard D. Gregory ◽  
...  
Keyword(s):  
Species Occurrence ◽  
Occupancy Modelling ◽  
Prior Specification ◽  
Occurrence Data

Spatiotemporal modelling for the annual egg production method of stock assessment using generalized additive models

1998 ◽  
Vol 55 (12) ◽  
pp. 2608-2621 ◽  
Author(s):  
N H Augustin ◽  
D L Borchers ◽  
E D Clarke ◽  
S T Buckland ◽  
M Walsh
Keyword(s):  
Environmental Variables ◽  
Egg Production ◽  
Survey Design ◽  
Stock Assessment ◽  
Generalized Additive Models ◽  
Production Method ◽  
Additive Models ◽  
Atlantic Mackerel ◽  
Egg Density ◽  
Survey Designs

Generalized additive models (GAMs) are used to model the spatiotemporal distribution of egg density as a function of locational and environmental variables. The main aim of using GAMs is to improve precision of egg abundance estimates needed for the annual egg production method. The application of GAMs requires a survey design with good coverage in space and time. If the only results available are from less optimal survey designs, they can be improved by using historical data for spawning boundaries. The method is applied to plankton egg survey data of Atlantic mackerel (Scomber scombrus) in 1995. The GAM-based method improves the precision of estimates substantially and is also useful in explaining complex space-time trends using environmental variables.

Optional Randomized Response Techniques for Complex Survey Designs

2004 ◽  
Vol 46 (1) ◽  
pp. 114-124 ◽  
Author(s):  
Raghunath Arnab
Keyword(s):  
Randomized Response ◽  
Complex Survey ◽  
Randomized Response Techniques ◽  
Survey Designs
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