scispace - formally typeset
Search or ask a question
Topic

Occupancy

About: Occupancy is a research topic. Over the lifetime, 2757 publications have been published within this topic receiving 68288 citations.


Papers
More filters
Journal ArticleDOI
TL;DR: In this paper, a case study focused specifically on lighting, small power and catering equipment in a high density office building is analyzed and presented, showing that by combining monitoring data with predictive energy modelling, it was possible to increase the accuracy of the model to within 3% of actual electricity consumption values.

568 citations

Journal ArticleDOI
TL;DR: In this paper, the authors present a general introduction to scientific approaches in ecological sciences, and the general principles exposed are relevant to most students, researchers and managers, particularly before they embark on their own studies.
Abstract: Numerous studies rely on occupancy or presence/absence data, e.g. understanding and predicting species distribution under diverse scenarios of climatic change and land use, dynamics of fragmented populations and metapopulations, and dynamics of invasive species. While presence/absence data can often be seen as just a simple either/or dichotomy, there is a fundamental asymmetry: we can often be pretty sure that a given species is present after observing it, but being sure of its absence is much more difficult. This book addresses many of the important issues related to this asymmetry and how this should be taken into account to make proper inferences about patterns and processes. To ignore the uncertainty inherent in assessing absence leads to biased conclusions and potentially harmful decisions. The book has 10 chapters focusing on general and specific issues relevant to presence/absence data. The first chapter is a general introduction to scientific approaches in ecological sciences, and the general principles exposed are relevant to most students, researchers and managers, particularly before they embark on their own studies. The second chapter gives details on the various kinds of uses of occupancy data. The third chapter is a quick overview of basic principles of statistical inference, relying on the very extensive experience of the different authors of the book. It strikes a difficult balance among different approaches, and I very much liked the pragmatic view advocated here. The next six chapters focus on increasingly more complicated modelling strategies and designs, starting with models for single species and single seasons (chapters 4 and 5 of which the latter includes heterogeneity in detection probabilities), design considerations for single-season studies (chapter 6), single-species and multiple-seasons studies (chapter 7) and finally studies addressing patterns and processes at the community level (chapters 8 and 9). All chapters include detailed examples, and software exist for implementing most of the analyses described. Chapter 10 looks at a wide range of issues that need to be addressed in future studies, and PhD students looking for interesting topics should definitely read this chapter! I very much enjoyed reading this book. The authors’ unique experience in designing field studies, analysing various data sets, and developing and implementing new statistical methods is clearly reflected in their balanced view throughout this work. What is stressed are principles and models, not 'ready-to-use' recipes. This probably implies a high level of investment on the short-term, but a large benefit on the long-term. Ecology relies increasingly on more sophisticated designs and analytical methods, and this book is a good example of this trend. It can be used both as a classroom textbook and as a useful reference readily available on your bookshelf. The only criticism I could have concerns the topics covered and the restriction to animal populations and communities, clearly many of the ideas and methods discussed are relevant to plant ecologists too!

546 citations

Journal ArticleDOI
TL;DR: In this article, the authors present a method for generating realistic occupancy data for UK households, based upon surveyed time-use data describing what people do and when, which can be used as input to any domestic energy model that uses occupancy time-series as a base variable, or any other application that requires detailed occupancy data.

546 citations

Journal ArticleDOI
TL;DR: A family of Incidence-function models can be constructed for particular kinds of metapopulations that can be parameterized with field data on patch occupancy, and used to make quantitative predictions about specific metapipulations.
Abstract: Recent work on the dynamics of species living In fragmented landscapes has produced much Information on patterns of habitat patch occupancy in a wide range of organisms. Building on an elementary Markov chain model of patch occupancy, a family of Incidence-function models can be constructed for particular kinds of metapopulations. These models can be parameterized with field data on patch occupancy, and the models can be used to make quantitative predictions about specific metapopulations. This approach provides a potentially powerful tool for the management of reserve networks and species living in fragmented landscapes.

477 citations


Network Information
Related Topics (5)
Land use
57K papers, 1.1M citations
73% related
Urban planning
52.4K papers, 859.1K citations
73% related
Sustainability
129.3K papers, 2.5M citations
72% related
Ecosystem services
28K papers, 997.1K citations
72% related
Sampling (statistics)
65.3K papers, 1.2M citations
71% related
Performance
Metrics
No. of papers in the topic in previous years
YearPapers
2023669
20221,420
2021234
2020217
2019236
2018209