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Data collected from students were analyzed with SPSS program. The schools were in villages, located 37– 87 kilometers far from Konya’s city center. Survey was applied to secondary school students whose ages differed from 10 to 15. Based on the argument that internet and social media usage could vary across people with different demographical features, this study was conducted to understand social media and internet usage of secondary school students from three different schools located in rural areas of the city of Konya. Various studies showed that with some geographical and demographical differences, it could be said that internet usage was increasing rapidly in almost everywhere in the world. Today, people in all age groups across the world increasingly use internet and social media for several purposes and this development opened the door for new research activities to scholars. Especially the innovative Web 2.0 technologies, which evolved in the beginning of millennium, made people possible to create and share their own contents. Rapid extension of internet access across the world made it possible for people to communicate each other without time and space limitations. Ver 13.With the developments in the field of technology, significant changes occurred in means of communication. Ver 13.11 (31Mar2021) - make 2sp model print all phis Ver 13.12 (11Aug2021) - fix bug in RPresence 2sp model output of real psiBA estimates Ver 13.13 (30Aug2021) - fix bug in RPresence 2sp model reversed psiBA, psiBa Ver 13.14 (12Oct2021) - Increase max cov name length from 64 to 64000 Ver 13.15 (182Oct2021) - fix gof bug (gof not run in Presence) Ver 13.16 (20Oct2021) - Add dyn.occ 2nd parm to RPresence Ver 13.17 (25Oct2021) - fix multi-season multi-state model Ver 13.18 (03Dec2021) - Add MacKenzie alpha param to 2sp model PRESENCE (includes GenPres, no install/setup program) Worked Examples and Exercises in PRESENCE.
STATS MODELING THE WORLD PDF PDF
PDF documents can be viewed using a PDF reader program ( Methods in Ecology and Evolution 2012, 3, 860-869. In species occupancy: power analysis under imperfect detection. 2007.Įxploring Sampling Design Trade-Offs In Occupancy Studies With imperfect detection: examples and software.Įcological Applications, 17(1). Probabilities when a species is detected imperfectly.īailey, L.
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Estimating site occupancy, colonization and local extinction Estimating site occupancy rates when detection probabilities are less than one. Occupancy Estimation and Modeling - Inferring Patterns and Dynamics of Species Occurrence.
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RPresence - Provides an R interface for running occupancy models available in Program PRESENCE plus some additional helpful routines.This work is in collaboration with Darryl MacKenzie, and is largely funded by the Amphibian Research and Monitoring InitiativeĬontact Darryl if you would like to learn more about this project. Estimates patch occupancy rates and related parameters.