Relevant bibliographies by topics / Geographical distribution

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Geographical distribution'

Author: Grafiati
Published: 4 June 2021
Last updated: 25 July 2025

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Journal articles on the topic "Geographical distribution"

1

HAACKE, W. D., N. H. G. JACOBSEN, G. V. HAAGNER, et al. "GEOGRAPHICAL DISTRIBUTION." Journal of the Herpetological Association of Africa 37, no. 1 (1990): 56–57. http://dx.doi.org/10.1080/04416651.1990.9650266.

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CHERRY, M. I., C. A. PAUW, RICHARD C. BOYCOTT, et al. "GEOGRAPHICAL DISTRIBUTION." Journal of the Herpetological Association of Africa 39, no. 1 (1991): 19–20. http://dx.doi.org/10.1080/04416651.1991.9650297.

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BRANCH, W. R., M. BURGER, MARIUS BURGER, et al. "GEOGRAPHICAL DISTRIBUTION." Journal of the Herpetological Association of Africa 41, no. 1 (1992): 35–39. http://dx.doi.org/10.1080/04416651.1992.9650357.

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HAACKE, W. D., H. KUBIERSKE, T. ULBER, et al. "GEOGRAPHICAL DISTRIBUTION." Journal of the Herpetological Association of Africa 42, no. 1 (1993): 40–43. http://dx.doi.org/10.1080/04416651.1993.9650371.

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Branch, W. R., and J. H. van Wyk. "GEOGRAPHICAL DISTRIBUTION." Journal of the Herpetological Association of Africa 31, no. 1 (1985): 26. http://dx.doi.org/10.1080/04416651.1985.9650152.

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BROADLEY, D. G., G. R. MCLACHLAN, D. G. BROADLEY, M. A. STARK, and S. A. BOTHA. "GEOGRAPHICAL DISTRIBUTION." Journal of the Herpetological Association of Africa 32, no. 1 (1986): 30–31. http://dx.doi.org/10.1080/04416651.1986.9650162.

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BROADLEY, D. G., N. H. G. JACOBSEN, W. D. HAACKE, et al. "GEOGRAPHICAL DISTRIBUTION." Journal of the Herpetological Association of Africa 34, no. 1 (1988): 50. http://dx.doi.org/10.1080/04416651.1988.9650190.

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BURGER, M. "GEOGRAPHICAL DISTRIBUTION." Journal of the Herpetological Association of Africa 35, no. 1 (1988): 36. http://dx.doi.org/10.1080/04416651.1988.9650207.

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Kale, Balasaheb Shantilal, and Sanjay Appaji Khairnar. "Geographical Distribution of Sageraea laurina Dalzell." SSR Institute of International Journal of Life Sciences 8, no. 4 (2022): 3065–74. http://dx.doi.org/10.21276/ssr-iijls.2022.8.4.4.

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Fontoura, Talita, and Flavio Antonio Maës dos Santos. "Geographic distribution of epiphytic bromeliads of the Una region, Northeastern Brazil." Biota Neotropica 10, no. 4 (2010): 127–31. http://dx.doi.org/10.1590/s1676-06032010000400017.

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Many Brazilian Atlantic Rainforest plant and animal species are geographically restricted to Southern Bahia and Northern Espírito Santo States. We investigated the geographic distribution of epiphytic bromeliads in the lowland forest of the Una region (15° 17' 34' S - 39° 04' 30'' W) in Southern Bahia. Specifically, we addressed the following questions: i) what is the extent of each species distribution?; and ii) are the Bromeliaceae subfamilies distributed differently from one another? Almost half of the 40 species (47.5%) occur exclusively in the Southern Bahia-Northern Espírito Santo region
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Dissertations / Theses on the topic "Geographical distribution"

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Robertson, Mark Peter. "Predictive modelling of species' potential geographical distributions." Thesis, Rhodes University, 2003. http://hdl.handle.net/10962/d1007189.

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Models that are used for predicting species' potential distributions are important tools that have found applications in a number of areas of applied ecology. The majority of these models can be classified as correlative, as they rely on strong, often indirect, links between species distribution records and environmental predictor variables to make predictions. Correlative models are an alternative to more complex mechanistic models that attempt to simulate the mechanisms considered to underlie the observed correlations with environmental attributes. This study explores the influence of the ty
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Marques, Mariana Pimentel. "Geographical distribution of the amphibians and reptiles of Angola." Master's thesis, Universidade de Évora, 2015. http://hdl.handle.net/10174/13275.

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Angola is among the largest countries in Africa and due to its great geographical and climatic variety, presents a great diversity of biomes and habitats. However, is one of few biodiverse countries in Africa that remains highly incomplete in knowledge of vertebrate diversity. Data regarding the occurrence and geographical distribution of amphibians and reptiles in Angola are currently scattered across museum specimens housed in Natural History institutions and in a diversity of books and papers published since the second half of the nineteenth century, and there is no available distribution d
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Ho, Po-ki, and 何寶琪. "Epidemiology and geographical distribution of child abuse in Hong Kong." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2013. http://hdl.handle.net/10722/193568.

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Objectives: The objectives of this study are 1) To study the epidemiology and geographical distribution of child abuse in Hong Kong. 2) To study the district differences in co-morbidities of child abuse. Methods: Children under 19 years old with diagnostic codes for child abuse and child maltreatment from 1st January 2001 to 31st December 2010 were retrieved from Hospital Authority database. Demographics, hospital admission data and co-morbidities diagnosis were retrieved. The data were further analyzed according to districts of Hong Kong. Results: A total of 8055 episodes of child ab
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Soni, Monde. "Assessment of geographical based load forecast approach in distribution planning." Master's thesis, Faculty of Engineering and the Built Environment, 2018. http://hdl.handle.net/11427/30175.

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Prior to the year 2007, Eskom Distribution followed a method of load forecasting (now referred to as legacy method in this report) that was based on collecting customer applications, historical load trending, and relied on the planner’s knowledge of the area to a large extent. It was based in a conventional Microsoft Excel spreadsheet. On seeking to improve its load forecasting approach, the utility adopted a technique that was based on spatial forecasting. This new technique was called a geographical based load forecasting (GLF) technique which was performed by using a custom based tool, call
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Pidgeon, Leo Edward. "Habitat-based species-specific spatial prediction geographical distribution of Spiranthes diluvialis /." Thesis, Montana State University, 2005. http://etd.lib.montana.edu/etd/2005/pidgeon/PidgeonL0805.pdf.

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Manning, Jane Elizabeth. "Patterns of spatial variation : bacteria and tintinnids in the North Atlantic ocean." Thesis, Swansea University, 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.678684.

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Sampson, Mark Robert. "Modelling the distribution and abundance of several demersal fish species on the Agulhas Bank, South Africa." Thesis, Rhodes University, 2002. http://hdl.handle.net/10962/d1006207.

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The Agulhas Bank supports a speciose fish community, many of which are commercially important. Despite substantial research being conducted on aspects of their biology spatial aspects of their distribution and abundance in relation to environment parameters has been ignored. This study, therefore, addressed aspects related to the distribution and abundance of representative species on the Agulhas Bank within a Geographic Information System (GIS). Four candidate species were chosen due to their importance either in numbers or unit mass to the South African demersal trawl fishery. The species al
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Scott, Lucy Elizabeth Powell. "The development of a geographic information systems based atlas of southern African freshwater fish, and its application to biogeographic analysis." Thesis, Rhodes University, 2000. http://hdl.handle.net/10962/d1005099.

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A Geographic Information Systems (GIS) atlas of southern African freshwater fish was developed for the SADC countries from natural history collection specimens, hydrological, topographical and climatological data. The primary purpose of the development of the atlas of freshwater fish was the construction of a practical framework to transform vast amounts of existing biological data for use in research and management of aquatic resources. The database of freshwater fish collection specimens that was incorporated into the atlas, was developed in association with ALCOM (Aquatic Resources Manageme
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Jarema, Stacey Isabelle. "The abundance and distribution of beavers (Castor canadensis) in Québec, Canada /." Thesis, McGill University, 2006. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=101145.

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The importance of spatial variation in abundance for the assessment of climate change impacts was examined using the North American beaver ( Castor canadensis) in Quebec as a model species. A preliminary characterization of the beavers' range edge improved the core-sampling bias and revealed that beavers are present at low densities, in shrubby riparian habitats as far north as the communities of Tasiujaq and Umiujaq. Spatial variation in beaver abundance across the province follows a roughly logistic pattern, with abundance peaking in southern Quebec, declining steeply around 49°N, and remain
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Doniol-Valcroze, Thomas. "Spatial distribution of rorqual whales in the Strait of Jacques Cartier, Gulf of St. Lawrence, Quebec, Canada." Thesis, McGill University, 2001. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=33749.

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The spatial distribution of four species of rorqual whales was studied along the north shore of the Gulf of St. Lawrence during the months of June to October from 1989 to 2000. A research effort of 6511 hours at sea yielded 849 sightings of blue whales (Balaenoptera musculus), 5291 of finback whales (Balaenoptera physalus), 3822 of humpback whales (Megaptera novaeangliae) and 6489 of minke whales (Balaenoptera acutorostrata). Spatial and behavioural data were collected at sea using inflatable boats, and Global Positioning Systems (GPS) were used to obtain accurate positions. These data were pl
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Books on the topic "Geographical distribution"

1

Foissner, W. Protist Diversity and Geographical Distribution. Springer Netherlands, 2009.

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Foissner, W., and David L. Hawksworth, eds. Protist Diversity and Geographical Distribution. Springer Netherlands, 2009. http://dx.doi.org/10.1007/978-90-481-2801-3.

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author, Uliana Marco, Beretta Stefano (Naturalist) author, Veneto (Italy), and Fondazione Musei civici di Venezia, eds. Farfalle del Veneto: Atlante distributivo = Butterflies of Veneto : distributional atlas. Regione Veneto, 2014.

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Hunault, Gérard. Atlas des plantes protégées de la Sarthe. Museum National d'Histoire Naturelle, 2003.

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Marie-Yvonne, Morel, and Morel Gérard J, eds. Les oiseaux de Sénégambie: Notices et cartes de distribution. Editions de l'ORSTOM, 1990.

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1930-, Monroe Burt L., and Sibley Charles Gald 1917-, eds. A supplement to Distribution and taxonomy of birds of the world. Yale University Press, 1993.

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1949-, Rector Barron Scott, and Dube Amanda M, eds. Distribution of grasses in Texas. BRIT Press, 2011.

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Sheets, Tracey J. Washington State pine marten distribution. Washington Dept. of Wildlife, Wildlife Management Division, 1993.

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G, Holm LeRoy, ed. A Geographical atlas of world weeds. Krieger Pub. Co., 1991.

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Mees, G. F. Geographical variation in birds of Java. Nuttall Ornithological Club, 1996.

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Book chapters on the topic "Geographical distribution"

1

Spradbrow, P. B. "Geographical Distribution." In Newcastle Disease. Springer US, 1988. http://dx.doi.org/10.1007/978-1-4613-1759-3_13.

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Wang, Ji-Shen, and Bao-Zhen Hua. "Geographical Distribution." In A Color Atlas of the Chinese Mecoptera. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-9558-2_4.

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Asaishi, K., C. Nishino, and H. Hayasaka. "Geographical Distribution and Epidemiology." In Gastric Anisakiasis in Japan. Springer Japan, 1989. http://dx.doi.org/10.1007/978-4-431-68290-5_5.

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Chen, Wen Feng. "Geographical Distribution of Rhizobia." In Ecology and Evolution of Rhizobia. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-32-9555-1_8.

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Shi, Jun Yi, Bing Yin Che, Yu Xiao Zhang, et al. "Geographical Distribution of Bambusoideae." In Illustrated Flora of Bambusoideae in China. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-10-8580-2_27-1.

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Eller, Jack David. "Region and geographical distribution." In Culture and Diversity in the United States, 2nd ed. Routledge, 2024. http://dx.doi.org/10.4324/9781032701691-12.

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Drew, Richard A. I., and Meredith C. Romig. "New geographical distribution records." In The fruit fly fauna (Diptera: Tephritideae: Dacinae) of Papua New Guinea, Indonesian Papua, Associated Islands and Bougainville. CABI, 2022. http://dx.doi.org/10.1079/9781789249514.0012.

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Abstract New geographical records are presented for 27 species of fruit flies (25 from genus Bactrocera and 2 from genus Dacus) from Papua New Guinea, Indonesian Papua, associated islands and Bougainville.
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Shi, Jun Yi, Bing Yin Che, Yu Xiao Zhang, et al. "Geographical Distribution of Bambusoideae." In Illustrated Flora of Bambusoideae in China. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-7884-7_27.

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Taylor, F. J. R., Mona Hoppenrath, and Juan F. Saldarriaga. "Dinoflagellate diversity and distribution." In Protist Diversity and Geographical Distribution. Springer Netherlands, 2007. http://dx.doi.org/10.1007/978-90-481-2801-3_13.

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Lindblad, Anne S., Joel W. Novak, and Karl D. Nolph. "Geographical Distribution of Registry Coverage." In Continuous Ambulatory Peritoneal Dialysis in the USA. Springer Netherlands, 1989. http://dx.doi.org/10.1007/978-94-009-0931-1_9.

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Conference papers on the topic "Geographical distribution"

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Zhakupova, A. Y., A. A. Abilova, and K. K. Assylkhan. "Spatial Analysis of Turkey 2023 Seismic Activity: Geographical Distribution Research." In 2024 IEEE 4th International Conference on Smart Information Systems and Technologies (SIST). IEEE, 2024. http://dx.doi.org/10.1109/sist61555.2024.10629451.

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Zhang, Yueting, Qiumei Cao, Ying Feng, and Xiyong Wang. "Relation between geographical distribution of Calligonum junceum community and climatic factors in Xinjiang." In Fifth International Conference on Green Energy, Environment, and Sustainable Development, edited by Mohammadreza Aghaei, Hongyu Ren, and Xiaoshuan Zhang. SPIE, 2024. http://dx.doi.org/10.1117/12.3044830.

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"Geographical Distribution of Papers." In Proceedings of the 46th International Midwest Symposium on Circuits and Systems. IEEE, 2003. http://dx.doi.org/10.1109/mwscas.2003.1562196.

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MATSUMOTO, Kuniko. "Geographical distribution of high-novelty research." In 27th International Conference on Science, Technology and Innovation Indicators (STI 2023). International Conference on Science, Technology and Innovation Indicators, 2023. http://dx.doi.org/10.55835/643b16770dbbd7f8a6d7c898.

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In this study, trial analyses using bibliometric approaches were performed to investigate the geographical distribution of high-novelty research. Data on approximately 2.55 million academic papers published in 2021 were examined as a pilot to show worldwide statistical data on novelty research. A combinatorial novelty indicator measuring units comprising paired reference papers was adopted in the analyses. This study shows the main three results: the top 20 countries/regions in the top 10% of high-novelty papers, the share of the top 10% high-novelty papers in each country/region, and the shar
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Nedelcu, Iulia Daniela, Adrian Gabriel Simion, and Daniel Peptenatu. "GEOGRAPHICAL DISTRIBUTION OF PEDIATRIC CANCER IN ROMANIA." In 7th International Scientific Conference GEOBALCANICA 2021. Geobalcanica Society, 2021. http://dx.doi.org/10.18509/gbp210367n.

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Vallet, S., B. Vinot, and F. Cadoux. "Bridging the gap from geographical to electrical modelling." In 27th International Conference on Electricity Distribution (CIRED 2023). Institution of Engineering and Technology, 2023. http://dx.doi.org/10.1049/icp.2023.0698.

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Safi, Mariem, and Elnaiem Ali Elobaid. "Geographical distribution of air pollution in Doha Qatar." In Qatar Foundation Annual Research Conference Proceedings. Hamad bin Khalifa University Press (HBKU Press), 2018. http://dx.doi.org/10.5339/qfarc.2018.eepd1047.

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Yurtseven, Kaan, and Engin Karatepe. "Distribution Substation Expansion Planning Considering Different Geographical Configurations." In 2021 12th International Symposium on Advanced Topics in Electrical Engineering (ATEE). IEEE, 2021. http://dx.doi.org/10.1109/atee52255.2021.9425221.

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Kouzelis, Konstantinos, Birgitte Bak-Jensen, and Jayakrishnan R. Pillai. "The geographical aspect of flexibility in distribution grids." In 2015 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT). IEEE, 2015. http://dx.doi.org/10.1109/isgt.2015.7131888.

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Fu, Y., D. D. Li, and J. L. Cao. "Geographical property based approach for distribution substation planning." In 2009 International Conference on Sustainable Power Generation and Supply. SUPERGEN 2009. IEEE, 2009. http://dx.doi.org/10.1109/supergen.2009.5348253.

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Reports on the topic "Geographical distribution"

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Devereux, Michael, Rachel Griffith, and Helen Simpson. The geographical distribution of production activity in the UK. The IFS, 2002. http://dx.doi.org/10.1920/re.ifs.2024.0833.

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Shen, Yu-Chu, and Renee Hsia. Geographical Distribution of Emergency Department Closures and Consequences on Heart Attack Patients. National Bureau of Economic Research, 2016. http://dx.doi.org/10.3386/w22861.

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Sinai, Todd, and Joseph Gyourko. The (Un)changing Geographical Distribution of Housing Tax Benefits: 1980 to 2000. National Bureau of Economic Research, 2004. http://dx.doi.org/10.3386/w10322.

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Brown, S. Geographical Distribution of Biomass Carbon in Tropical Southeast Asian Forests: A Database. Office of Scientific and Technical Information (OSTI), 2002. http://dx.doi.org/10.2172/881803.

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Brown, S. Geographical Distribution of Biomass Carbon in Tropical Southeast Asian Forests: A Database. Office of Scientific and Technical Information (OSTI), 2001. http://dx.doi.org/10.2172/814280.

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Workman, Sarah, and Maddy Thompson. Breaking down barriers: Empowering Black women in breast cancer care. Royal Geographical Society (with IBG), 2022. http://dx.doi.org/10.55203/vvdj9112.

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Ranjitkar, Sailesh, and Nani Maiya Sujakhu. Projected climate change impacts on climatic suitability and geographical distribution of banana and coffee plantations in Nepal. World Agroforestry Center (ICRAF), 2015. http://dx.doi.org/10.5716/wp15294.pdf.

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Bunn, Sarah, and Jonida Tafilaku. Climate Change and Vector-Borne Disease in Humans in the UK. Parliamentary Office of Science and Technology, 2019. http://dx.doi.org/10.58248/pn597.

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A POSTnote that summarises the latest data on vector-borne disease in the UK, explores how climate may influence the geographical distribution of species, examines the consequences for public health, and highlights potential adaptation and mitigation strategies.
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Maeno, Yoshiharu. Epidemiological geographic profiling for a meta-population network. Web of Open Science, 2020. http://dx.doi.org/10.37686/ser.v1i2.78.

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Epidemiological geographic profiling is a statistical method for making inferences about likely areas of a source from the geographical distribution of patients. Epidemiological geographic profiling algorithms are developed to locate a source from the dataset on the number of new cases for a meta-population network model. It is found from the WHO dataset on the SARS outbreak that Hong Kong remains the most likely source throughout the period of observation. This reasoning is pertinent under the restricted circumstance that the number of reported probable cases in China was missing, unreliable,
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Gradín, Carlos. WIID Companion (March 2021): global income distribution. UNU-WIDER, 2021. http://dx.doi.org/10.35188/unu-wider/wtn/2021-6.

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This document is part of a series of technical notes describing the compilation of a new companion database that complements the UNU-WIDER World Income Inequality Database. It aims at facilitating the analysis of inequality as well as progress in achieving the global goal of reducing inequality within and across countries. This new dataset includes an annual series reporting the income distribution at the percentile level for all citizens in the world, regardless of where they live, from 1950 to the present. The global distribution is displayed along with the country-level information used to
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