Relevant bibliographies by topics / Home range

Academic literature on the topic 'Home range'

Author: Grafiati
Published: 4 June 2021
Last updated: 11 March 2023

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Journal articles on the topic "Home range"

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Halbrook, Richard S., and Marty Petach. "Estimated mink home ranges using various home-range estimators." Wildlife Society Bulletin 42, no. 4 (December 2018): 656–66. http://dx.doi.org/10.1002/wsb.924.

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Stone, R. "Home, Home Outside the Range?" Science 329, no. 5999 (September 23, 2010): 1592–94. http://dx.doi.org/10.1126/science.329.5999.1592.

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Newby, John. "Home, home on the range…" Oryx 48, no. 2 (March 13, 2014): 157–58. http://dx.doi.org/10.1017/s0030605314000143.

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Moorcroft, P. R., M. A. Lewis, and R. L. Crabtree. "HOME RANGE ANALYSIS USING A MECHANISTIC HOME RANGE MODEL." Ecology 80, no. 5 (July 1999): 1656–65. http://dx.doi.org/10.1890/0012-9658(1999)080[1656:hrauam]2.0.co;2.

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De Haan, L., and Sidney Resnick. "Estimating the home range." Journal of Applied Probability 31, no. 3 (September 1994): 700–720. http://dx.doi.org/10.2307/3215149.

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A proposal is given for estimating the home range of an animal based on sequential sightings. We assume the given sightings are independent, identically distributed random vectors X1,· ··, Xn whose common distribution has compact support. If are the polar coordinates of the sightings, then is a sup-measure and corresponds to the right endpoint of the distribution . The corresponding upper semi-continuous function l(θ) is the boundary of the home range. We give a consistent estimator for the boundary l and under the assumption that the distribution of R1 given is in the domain of attraction of an extreme value distribution with bounded support, we are able to give an approximate confidence region.
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Baskin, Yvonne. "Home on the Range." BioScience 48, no. 4 (April 1998): 245–51. http://dx.doi.org/10.2307/1313349.

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Knopp, Lisa, T. Louise Freeman-Toole, and Penny Allen. "Home on the Range." Women's Review of Books 19, no. 5 (February 2002): 23. http://dx.doi.org/10.2307/4023798.

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Kelzer, Kimberly. "Home on the Range." Leonardo 26, no. 1 (1993): 80. http://dx.doi.org/10.2307/1575789.

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Marx, Lesley. "Home on the Range." Safundi 7, no. 3 (July 2006): 1–10. http://dx.doi.org/10.1080/17533170600407304.

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Conniff, Richard. "Home off the Range." Scientific American 315, no. 4 (September 20, 2016): 76–81. http://dx.doi.org/10.1038/scientificamerican1016-76.

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Dissertations / Theses on the topic "Home range"

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Olfenbuttel, Colleen. "Home range dynamics of black bears in the Alleghany Mountains of western Virginia." Thesis, Virginia Tech, 2005. http://hdl.handle.net/10919/35199.

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The Cooperative Alleghany Bear Study (CABS) was initiated in 1994 to address concerns over the lack of biological and ecological data for black bear (Ursus americanus) populations in the Alleghany Mountains of western Virginia. I examined home range dynamics of bears during 1994-2002 on 2 study areas that were approximately 160 km apart. I analyzed my data with 3 home range programs (AMA, HRE, and ABODE) and determined the HRE was the least biased and produced the most biologically reasonable home range estimates. I used HRE to generate annual home ranges (fixed-kernel) for 90 bears over 160 bear years; I also generated seasonal home ranges using MCP. Annual and seasonal home ranges of male and female adult bears in the southern study area were larger than that of male and female adult bears in the northern study area, respectively; southern females and northern males had annual home ranges similar in size at the 95% and 75% fixed-kernel contours. In both study areas, most bears did not shift their range when transitioning from spring to summer (North: 63.0%; South: 57.0%) or from summer to fall (North: 67.0%; South: 65.0%), while most bears shifted their seasonal range between spring and fall (North: 67.0%; South: 52.0%). Most female bears in both study areas maintained the same spring and summer home range throughout the duration of the study, while 63% of northern females changed their fall home range and 55% of southern females maintained their fall home range. I found no differences in annual and seasonal home range size among years or among age classes for adult females, but tests for intra-year seasonal difference indicated that fall range was larger than spring and summer in 1997, when western Virginia experienced a poor mast crop. Females with and without COY had similar annual home ranges in either study area. In the north, seasonal home range size did not differ between females with and without COY, while in the south, breeding females (i.e. without COY) had larger spring ranges and smaller fall ranges than females with COY. In both study areas, females with COY had larger fall home ranges than during spring, while seasonal ranges of breeding females did not vary in size during the year.
Master of Science
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Oyekunle, Abiola Taiwo. "Wireless Short Range Communication Technologies for Home Automation." Thesis, Halmstad University, Halmstad Embedded and Intelligent Systems Research (EIS), 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-4017.

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A modern home contains varieties of electronic equipment and systems like: TV, Hi-fi equipment, central heating systems, fire alarm systems, security alarm systems, lighting systems etc. Enabling these devices to communicate is the first step towards the long-predicted smart home, but this requires communication standards to follow. It can be anticipated that the technology must be wireless in order for such network to be feasible.  Large set of standards are present for as well wired as wireless communication in between such devices, but today no standard communication interface available.

 

The goal of this project is to survey available standards for short-range wireless communication, and to evaluate and compare their capabilities to become a general standard for home automation. The evaluation must take such aspects as security, range, network architecture and the heterogeneous set of devices into consideration. Furthermore, this thesis proposes how to interconnect the home network to the external network for remote supervision and control.

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Batts, Gregory K. "An assessment of Quality Deer Management on a private hunt club in the Virginia Piedmont." Thesis, Virginia Tech, 2008. http://hdl.handle.net/10919/32818.

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I examined the efficacy of Quality Deer Management (QDM) on Amelia Springs hunt club in Amelia County, Virginia, during 2003-2006. I examined home range dynamics of male white-tailed deer (Odocoileus virginianus), deer/hunter interactions, and aspects of population dynamics. I also developed a new rocket net method to capture deer using a remote video system that was more efficient than traditional methods. I monitored 20 deer; 50% died due to hunting and 15% to natural mortality. The emigration rate for juvenile males was 46%, dispersal distance averaged 6.4 km. I used Home Range Extension (HRE) in ArcView to generate annual home ranges (adaptive-kernel) for 16 male deer; I also generated annual and seasonal home ranges using MCP. Annual and seasonal home ranges (MCP) of adult males were larger than those of juveniles. Adult male annual home ranges averaged 2.5 km2 and juveniles 0.9 km2. Seasonal home ranges of adult males were 1.6 km2 and 1.3 km2 during non-hunting and hunting seasons respectively. Juvenile non-hunting and hunting season home ranges were 0.6 km2 and 0.8 km2 respectively. I detected no differences in day/night movements of male deer during the hunting season; however, deer appeared to avoid areas that were hunted based on hunter GPS locations and deer locations during the hunting season. Frequency of deer movement increased during October-November. Population estimates based on remote camera mark-recapture averaged 60 antlered males for the 3-year survey period. Using population reconstruction, the minimum buck:doe ratio was 1:1.8. Estimated density of antlered males was 4.1/km2, in Amelia County, and 5.0/km2 for Amelia Springs. Deer harvested on Amelia Springs, compared to deer harvested on other hunt clubs in Amelia County, were larger. Antler diameters averaged 32.6mm on Amelia Springs versus 26.9mm for other Amelia county hunt clubs, average age at harvest for 2+ males was higher on Amelia Springs (2.4) than other Amelia county hunt clubs (2.2), and dressed body weights averaged 11.2kg heavier (46.2 kg versus 35 kg) on Amelia Springs. QDM on Amelia Springs appears to be successful based on the results. While bigger bucks existed on Amelia Springs, hunters failed to encounter them. Hunters likely would increase buck sightings during the hunting season by becoming more mobile. Expectations of the size of animal (antlers) Amelia Springs can produce should be adjusted to reflect what is possible based on the habitat. The harvest program in place should be continued at the current level for continued success using QDM.
Master of Science
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Zeeuw, Maureen L. de 1961. "Home range size and habitat use patterns of the Sanderling (Calidris alba) on the Oregon coast nonbreeding range, and comparison with home range sizes in California and Peru." Thesis, Thesis (M.S.)--University of Oregon, 1990, 1990. http://hdl.handle.net/1794/9810.

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Typescript. Includes vita and abstract. Bibliography: Includes bibliographical references (leaves 62-64).
During the nonbreeding season I observed the degree of site faithfulness of individual Sanderlings, Calidris alba, on the Pacific coast of southcentral Oregon, and the linear home range size was estimated. Home range size of Oregon birds and range sizes of individuals wintering in coastal areas of California and Peru were compared to determine if annual migration distance from the high arctic breeding ground is positively correlated with home range size. Oregon sanderlings on average remained within a minimum range of 17 kID during the nonbreeding season from October thrcugh April, although spring data are sparse. The Oregon home range is significantly larger than that of birds in Bodega Bay, California, and similar to that of birds in Peru. Therefore home range size is not correlated with distance from the breeding ground.
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De, Solla Shane R. "Home range, autocorrelation, modelling, and limitations of the concept." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp03/MQ27493.pdf.

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Hyzer, Garrett. "Effects of GPS Error on Animal Home Range Estimates." Scholar Commons, 2012. http://scholarcommons.usf.edu/etd/4338.

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This study examined how variables related to habitat cover types can affect the positional accuracy of Global Positioning System (GPS) data and, subsequently, how wildlife home range analysis can be influenced when utilizing this inaccurate data. This study focused on measuring GPS accuracy relative to five habitat variables: open canopy, sparse canopy, dense canopy, open water, and building proximity. The study took place in Hillsborough County, in residential areas that contain all of these habitat types. Five GPS devices, designed for wildlife tracking purposes, were used to collect the data needed for this study. GPS data was collected under the aforementioned scenarios in order to induce error into the data sets. Each data set was defined as a 1-hour data collecting period, with a fix rate of 60 seconds, which resulted in 60 points per sample. The samples were analyzed to determine the magnitude of effect the five variables have on the positional accuracy of the data. Thirty samples were collected for each of the following scenarios: (1) open grassland with uninhibited canopy closure, (2) sparse vegetation canopy closure, (3) dense vegetation canopy closure, (4) close proximity to buildings (<2 m), and (5) open water with uninhibited canopy closure. Then, GPS errors (in terms of mean and maximum distance from the mean center of each sample) were calculated for each sample using a geographic information system (GIS). Confidence intervals were calculated for each scenario in order to evaluate and compare the levels of error. Finally, this data was used to assess the effect of positional uncertainty on home range estimation through the use of a minimum convex polygon home range estimation technique. Open grassland and open water cover types were found to introduce the least amount of positional uncertainty into the data sets. The sparse coverage cover type introduces a higher degree of error into data sets, while the dense coverage and building proximity cover types introduce the greatest amount of positional uncertainty into the data sets. When used to create minimum convex polygon home range estimates, these data sets show that the home range estimates are significantly larger when the positional error is unaccounted for as opposed to when it is factored into the home range estimate.
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Laver, Peter Norman. "Cheetah of the Serengeti Plains: A home range analysis." Thesis, Virginia Tech, 2005. http://hdl.handle.net/10919/45981.

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Cheetah (Acinonyx jubatus) persist under continued conservation threat in small populations mostly in protected areas in an historically reduced geographic range. Home range, a useful trait for threat assessment, species reintroduction, and population estimation, is plastic in cheetah with sizes ranging from 40 km2 to over 1000 km2 depending on location. Previous home range estimates for cheetah used the minimum convex polygon (MCP), assuming asymptotic home ranges and MCP insensitivity to sample size. They reported metrics of home range size and overlap based on only outline methods. I use 6 481 observations of 240 female and 315 male cheetah from > 60 matrilines over 25 years in the Serengeti Plains to investigate lifetime, core, yearly, and seasonal range size with kernel density estimation. I investigate autocorrelation using time to statistical independence of locations. I confront the assumption of asymptotic home ranges by testing the traditional and multiscaled home range predictions and provide a novel method for determining kernel asymptotes. I challenge the notion of Serengeti cheetah as a migratory carnivore with analyses of site fidelity and objectively defined core ranges. I assess year to year and seasonal location shifts, showing that yearly shifting lessens as females age. I provide quantitative evidence for philopatry in female- and juvenile dispersal in male cheetah of the Serengeti Plains. I use simple overlap metrics to show that overlap in lifetime and core ranges is greater in related than unrelated female pairs. I use multi-response permutation procedures (MRPP) to show that overlap in unrelated female pairs varies with season. I use correlation of utilization distributions to show that avoidance is apparent only in unrelated pairs of females. My results call into question previous MCP estimates of cheetah home range size, and provide guidance for future sampling of cheetah locations. My home range results will guide management of this imperiled species and my methodological findings may be general and applicable to a wide range of taxa.
Master of Science
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McLellan, Christopher Richard. "Statistical modelling of home range and larvae movement data." Thesis, University of Edinburgh, 2014. http://hdl.handle.net/1842/14202.

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In this thesis, we investigate two di erent approaches to animal movement modelling; nite mixture models, and di usion processes. These models are considered in two di erent contexts, rstly for analysis of data obtained in home range studies, and then, on a much smaller scale, modelling the movements of larvae. We consider the application of mixture models to home range movement data, and compare their performance with kernel density estimators commonly used for this purpose. Mixtures of bivariate normal distributions and bivariate t distributions are considered, and the latter are found to be good models for simulated and real movement data. The mixtures of bivariate t distributions are shown to provide a robust parametric approach. Subsequently, we investigate several measures of overlap for assessing site delity in home range data. Di usion processes for home range data are considered to model the tracks of animals. In particular, we apply models based on a bivariate Ornstein-Uhlenbeck process to recorded coyote movements. We then study modelling in a di erent application area involving tracks. Di usion models for the movements of larvae are used to investigate their behaviour when exposed to chemical compounds in a scienti c study. We nd that the tted models represent the movements of the larvae well, and correctly distinguish between the behaviour of larvae exposed to attractant and repellent compounds. Mixtures of di usion processes and Hidden Markov models provide more exible alternatives to single di usion processes, and are found to improve upon them considerably. A Hidden Markov model with 4 states is determined to be optimal, with states accounting for directed movement, localized movement and stationary observations. Models incorporating higherorder dependence are investigated, but are found to be less e ective than the use of multiple states for modelling the larvae movements.
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Steyn, V., and PJ Funston. "Land-use and socio-spatial organization of female leopards in a semi-arid wooded savanna, Botswana." Southern African Wildlife Management Association, 2009. http://encore.tut.ac.za/iii/cpro/DigitalItemViewPage.external?sp=1001723.

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Abstract Leopards (Panthera pardus) are the most widespread large felid, yet comparatively little is known about their fine-scale movement patterns and how these affect the risks they face. There has been much debate on the conservation status and management needs for leopards with much extrapolation from limited data. In order to gather more information on leopard movements in Botswana’s Northern Tuli Game Reserve, seven leopards were collared between February 2005 and August 2006. This allowed key aspects that affect demography, and thus resilience to anthropogenic effects, to be investigated. Generally, home ranges were typical for breeding females in woodland savanna (32.9 ± 7.3 km²) with substantial overlap (average 26.0%). Core areas though were independent and extremely small (1.9 ± 2.2 km²). These were used primarily for young cub rearing, and were characterized by rugged terrain along riverbeds. This highly localized use places leopards at potential risk of snaring as snares tend to be concentrated along these landscape features. Furthermore, hunters can conceal blinds from which to shoot leopards more easily in these areas. Further risk to adult female survival came from excursions outside the reserve boundary during which livestock was predated. Three incidences of cannibalism by adult territorial males on adult females are also reported, suggesting significant intra-specific competition.
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Adams, Jennifer P. "Home range and behavior of the timber rattlesnake (Crotalus horridus)." Huntington, WV : [Marshall University Libraries], 2005. http://www.marshall.edu/etd/descript.asp?ref=605.

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Theses (M.S.)--Marshall University, 2005.
Title from document title page. Includes abstract. Document formatted into pages: contains vi, 98 p. including col. illustrations and maps. Bibliography: p. 65-70.
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Books on the topic "Home range"

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Cameron, Devin. Home on the range. New York: Random House, 2004.

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Baraka, Imamu Amiri. Home on the range. Alexandria, VA: Alexander Street Press, 2001.

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Home on the range. Titusville, FL: Pyramid Press, 1996.

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Home on the range. New York: Dial Books for Young Readers, 2004.

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Fox, Susan. Home on the range. New York: Kensington Publishing Corp., 2013.

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Jones, Miranda. Home on the range. New York: Yearling Books, 2008.

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Nolan, Lucy A. Home on the range. New York: Marshall Cavendish, 2010.

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Potter, Margaret Yardley. At home on the range. London: Bloomsbury, 2012.

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Inc, Judy O. Productions, SunDried Penguin, and Disney Enterprises (1996 ), eds. Disney's home on the range. Maitland, Fla: Advance Publishers, 2006.

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A home on the range. Richmond: Silhouette Books, 1993.

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Book chapters on the topic "Home range"

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Börger, Luca. "Home Range." In Encyclopedia of Animal Cognition and Behavior, 1–4. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-319-47829-6_666-1.

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Börger, Luca. "Home Range." In Encyclopedia of Animal Cognition and Behavior, 3127–29. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-319-55065-7_666.

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Yahner, Richard H. "Home Range and Homing." In Wildlife Behavior and Conservation, 77–82. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4614-1518-3_9.

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Okubo, Akira, and Louis Gross. "Animal Movements in Home Range." In Interdisciplinary Applied Mathematics, 238–67. New York, NY: Springer New York, 2001. http://dx.doi.org/10.1007/978-1-4757-4978-6_8.

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Castleberry, Steven B. "Home Range, Movements, and Habitat Selection." In The Allegheny Woodrat, 63–73. New York, NY: Springer New York, 2008. http://dx.doi.org/10.1007/978-0-387-36051-5_4.

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Cáceres, Nilton C., Ana C. Delciellos, Jayme A. Prevedello, Mariana N. Brum, and M. Soledad Albanese. "Movement, Habitat Selection, and Home Range of American Marsupials." In American and Australasian Marsupials, 1–28. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-88800-8_20-1.

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Cáceres, Nilton C., Ana C. Delciellos, Jayme A. Prevedello, Mariana N. Brum, and M. Soledad Albanese. "Movement, Habitat Selection, and Home Range of American Marsupials." In American and Australasian Marsupials, 1–27. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-88800-8_20-2.

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Müller, Dieter K. "9. Second Home Tourism in the Swedish Mountain Range." In Nature-Based Tourism in Peripheral Areas, edited by C. Michael Hall and Stephen W. Boyd, 133–48. Bristol, Blue Ridge Summit: Multilingual Matters, 2004. http://dx.doi.org/10.21832/9781845410025-011.

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Lähdesmäki, Tuuli, Jūratė Baranova, Susanne C. Ylönen, Aino-Kaisa Koistinen, Katja Mäkinen, Vaiva Juškiene, and Irena Zaleskiene. "Belonging and Home." In Learning Cultural Literacy through Creative Practices in Schools, 99–115. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-89236-4_7.

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AbstractIn this chapter, the authors discuss artifacts in which children explore belonging and home. The chapter defines the sense of belonging as a core feature of humanity and living together. The feeling of having a home and being at home is both an intimate and a socially shared aspect of belonging. The children expressed belonging to a wide range of spaces in their artifacts. This spatial span extends from macro to micro scale and indicates belonging based on spaces, social relations, and materiality. Even very young children can see and depict their belonging as multiple and including spatial and social dimensions. The analyzed artifacts reveal both concrete and symbolic approaches to belonging and home.
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Bebortta, Sujit, Amit Kumar Singh, Surajit Mohanty, and Dilip Senapati. "Characterization of Range for Smart Home Sensors Using Tsallis’ Entropy Framework." In Advances in Intelligent Systems and Computing, 265–76. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-1483-8_23.

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Conference papers on the topic "Home range"

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Johnson, Isaac L., Yilun Lin, Toby Jia-Jun Li, Andrew Hall, Aaron Halfaker, Johannes Schöning, and Brent Hecht. "Not at Home on the Range." In CHI'16: CHI Conference on Human Factors in Computing Systems. New York, NY, USA: ACM, 2016. http://dx.doi.org/10.1145/2858036.2858123.

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Downs, Joni, and Mark Horner. "Network-based Home Range Analysis Using Delaunay Triangulation." In 4th International Symposium on Voronoi Diagrams in Science and Engineering (ISVD 2007). IEEE, 2007. http://dx.doi.org/10.1109/isvd.2007.31.

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Zhang, Feifei, Qiang Chen, Yilin Wu, Guoming Chen, Xiongyong Zhu, and Jianhui Xu. "A Perception-Based Brightness Segmentation Method of High Dynamic Range Infrared Images." In 2020 8th International Conference on Digital Home (ICDH). IEEE, 2020. http://dx.doi.org/10.1109/icdh51081.2020.00021.

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Zhi-Hui Wang, Chin-Chen Chang, Ting-Yu Lin, and Chia-Chen Lin. "A Novel Distortion-free Data Hiding Scheme for High Dynamic Range Images." In 2012 4th International Conference on Digital Home (ICDH 2012). IEEE, 2012. http://dx.doi.org/10.1109/icdh.2012.49.

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Boitard, Ronan, Michael Smith, Michael Zink, Gerwin Damberg, and Anders Ballestad. "Using High Dynamic Range Home Master Statistics to Predict Dynamic Range Requirement for Cinema." In SMPTE 2018 Annual Technical Conference & Exhibition. IEEE, 2018. http://dx.doi.org/10.5594/m001819.

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Weiss, Alexander, David Hirshberg, and Michael J. Black. "Home 3D body scans from noisy image and range data." In 2011 IEEE International Conference on Computer Vision (ICCV). IEEE, 2011. http://dx.doi.org/10.1109/iccv.2011.6126465.

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Li, Yong, Donghai Huang, Zhenyu Chen, and Zhixin Zeng. "Centralized control of home electric appliances based on short range wireless technology." In 2009 International Conference on Information and Automation (ICIA). IEEE, 2009. http://dx.doi.org/10.1109/icinfa.2009.5204965.

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OIDA, KAZUMASA, and MAKOTO KAWAI. "STATISTICAL FEATURES OF LONG-RANGE DEPENDENT TCP TRAFFIC." In The Proceedings of the Joint International Conference on Wireless LANs and Home Networks (ICWLHN 2002) and Networking (ICN 2002). WORLD SCIENTIFIC, 2002. http://dx.doi.org/10.1142/9789812776730_0029.

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Franke, Alastair. "Home Range Size and Distribution in Arctic Peregrine Falcons: Is Productivity Density Dependent?" In Gyrfalcons and Ptarmigan in a Changing World. The Peregrine Fund, 2011. http://dx.doi.org/10.4080/gpcw.2011.0308.

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Santhosh, Aarya, and Sumam Mary Idicula. "Home range estimation of migrating organisms considering the spatiotemporal aspects of GPS tracked data." In 2017 International Conference of Electronics, Communication and Aerospace Technology (ICECA). IEEE, 2017. http://dx.doi.org/10.1109/iceca.2017.8203664.

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Reports on the topic "Home range"

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Carey, Andrew B., Scott P. Horton, and Janice A. Reid. Optimal sampling for radiotelemetry studies of spotted owl habitat and home range. Portland, OR: U.S. Department of Agriculture, Forest Service, Pacific Northwest Research Station, 1989. http://dx.doi.org/10.2737/pnw-rp-416.

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TACTICAL AIR COMMAND LANGLEY AFB VA. Realignment of Mountain Home Air Force Base and Proposed Expanded Range Capability. Fort Belvoir, VA: Defense Technical Information Center, December 1989. http://dx.doi.org/10.21236/ada268861.

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Neal, Donald L., George N. Steger, and Ronald C. Bertram. Mountain lions: preliminary findings on home-range use and density, central Sierra Nevada. Berkeley, CA: U.S. Department of Agriculture, Forest Service, Pacific Southwest Forest and Range Experiment Station, 1987. http://dx.doi.org/10.2737/psw-rn-392.

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Lagerveld, Sander, René Janssen, Karina Stienstra, Jan Boshamer, Marinka van Puijenbroek, Bart Noort, and Steve C. V. Geelhoed. Home range and habitat use of common noctules in the Dutch coastal zone. Den Helder: Wageningen Marine Research, 2021. http://dx.doi.org/10.18174/549783.

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5

Frazier, Brent. A study of home range in two Neotoma fuscipes colonies in Klamath County, Oregon. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.2545.

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6

Ford, W. Mark, Kely N. Mertz, Jennifer M. Menzel, and Kenneth K. Sturm. Late winter home range and habitat use of the Virginia northern flying squirrel (Glaucomys sabrinus fuscus). Newtown Square, PA: U.S. Department of Agriculture, Forest Service, Northern Research Station, 2007. http://dx.doi.org/10.2737/nrs-rp-4.

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7

Burns, Ashley V. Determining Home Range and Preferred Habitat of Feral Horses on the Nevada National Security Site Using Geographic Information Systems. Office of Scientific and Technical Information (OSTI), May 2014. http://dx.doi.org/10.2172/1178798.

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8

Amelia Reddish, Amelia Reddish. The impact of humane roost exclusion on the roosting ecology and home range size of the white bellied free tailed bat. Experiment, February 2018. http://dx.doi.org/10.18258/10831.

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9

DiGrande, Laura, Sue Pedrazzani, Elizabeth Kinyara, Melanie Hymes, Shawn Karns, Donna Rhodes, and Alanna Moshfegh. Field Interviewer– Administered Dietary Recalls in Participants’ Homes: A Feasibility Study Using the US Department of Agriculture’s Automated Multiple-Pass Method. RTI Press, May 2021. http://dx.doi.org/10.3768/rtipress.2021.mr.0045.2105.

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Abstract:
Objective: The purpose of this study was to assess the feasibility of administering the Automated Multiple-Pass Method (AMPM), a widely used tool for collecting 24-hour dietary recalls, in participants’ homes by field interviewers. Design: The design included computer-assisted personal interviews led by either a nutritionist (standard) or field interviewer. Portion estimators tested were a set of three-dimensional food models (standard), a two-dimensional food model booklet, or a tablet with digital images rendered via augmented reality. Setting: Residences in central North Carolina. Participants: English-speaking adults. Pregnant women and individuals who were fasting were excluded. Results: Among 133 interviews, most took place in living rooms (52%) or kitchens (22%). Mean interview time was 40 minutes (range 13–90), with no difference by interviewer type or portion estimator, although timing for nutritionist-led interviews declined significantly over the study period. Forty-five percent of participants referenced items from their homes to facilitate recall and portion estimation. Data entry and post-interview coding was evaluated and determined to be consistent with requirements for the National Health and Nutrition Examination Survey. Values for the number of food items consumed, food groups, energy intake (average of 3,011 kcal for men and 2,105 kcal for women), and key nutrients were determined to be plausible and within reasonably expected ranges regardless of interviewer type or portion estimator used. Conclusions: AMPM dietary recall interviews conducted in the home are feasible and may be preferable to clinical administration because of comfort and the opportunity for participants to access home items for recall. AMPMs administered by field interviewers using the food model booklet produced credible nutrition data that was comparable to AMPMs administered by nutritionists. Training field interviewers in dietary recall and conducting home interviews may be sensible choices for nutrition studies when response rates and cost are concerns.
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Keane, Claire, Sean Lyons, Mark Regan, and Brendan Walsh. HOME SUPPORT SERVICES IN IRELAND: EXCHEQUER AND DISTRIBUTIONAL IMPACTS OF FUNDING OPTIONS. ESRI, February 2022. http://dx.doi.org/10.26504/sustat111.

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A new statutory scheme for the provision of home support services is currently being developed by the Department of Health. Research has shown that access to home support services varies across the country. The new scheme aims to tackle this issue to ensure equitable access to home support services nationwide and is part of wider reform of Ireland’s health and social care systems as envisaged in the Sláintecare report and Department of Health action plans. Publicly funded home support services in Ireland are currently provided free of charge for recipients, unlike long-term residential or nursing home care, which involves a contribution from residents. In 2019, the HSE’s Older Persons’ Services provided care to 53,000 people at a cost of €440 million. It is anticipated that demand for home support services may increase under the new scheme, for example if unmet demand is met or if the new scheme results in more people being able to remain in their own home, substituting away from long-term residential care. Any increased demand would result in an increased cost, which may also rise as the population ages. This report examines the possible introduction of co-payments for home support services. We focus on the likely Exchequer impact of a range of different funding scenarios along with the distributional, poverty and inequality impacts of such charges. Due to data limitations, and the fact that the majority of home support services are provided to older age groups, we focus on those aged 65 years and over. Regarding co-payments we examine the impact of flat-rate charges for users, regardless of means, as well as co-payments for home support recipients above a variety of income levels. The tapering of payments is also examined to ensure that individuals just over a specific income threshold would see co-payments gradually increasing as their income rises. We also consider the capping of co-payments so that those needing a high number of home support hours would not potentially face very high costs.
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