Academic literature on the topic 'Geographical distribution'

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Journal articles on the topic "Geographical distribution"

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HAACKE, W. D., N. H. G. JACOBSEN, G. V. HAAGNER, E. H. W. BAARD, A. SCOTT, RICHARD C. BOYCOTT, A. M. BAUER, et al. "GEOGRAPHICAL DISTRIBUTION." Journal of the Herpetological Association of Africa 37, no. 1 (May 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, NEIL le CROIX, D. G. BROADLEY, S. M. P. SPAWLS, D. G. BROADLEY, et al. "GEOGRAPHICAL DISTRIBUTION." Journal of the Herpetological Association of Africa 39, no. 1 (October 1991): 19–20. http://dx.doi.org/10.1080/04416651.1991.9650297.

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

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HAACKE, W. D., H. KUBIERSKE, T. ULBER, W. D. HAACKE, M. F. BATES, O. BOURQUIN, W. D. HAACKE, et al. "GEOGRAPHICAL DISTRIBUTION." Journal of the Herpetological Association of Africa 42, no. 1 (September 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 (January 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 (January 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, M. F. BATES, M. F. BATES, M. F. BATES, N. H. G. JACOBSEN, N. H. G. JACOBSEN, and R. E. NEWBERY. "GEOGRAPHICAL DISTRIBUTION." Journal of the Herpetological Association of Africa 34, no. 1 (November 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 (March 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 (July 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 (December 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 and are herein referred as endemic species. The highest percentage of the 15 species of Tillandsioideae (46.7%) occur throughout the South American Continent and most of the 25 species of Bromelioideae (68.0%) are mainly represented by endemic species. The Una region has almost two times more species than a forested area located 40 km west, suggesting marked increases in diversity in over relatively short distances. The endemism data around Una indicates that species are geographically distributed over an area spanning approximately six to seven degrees in latitude and longitude. This result contrasts with the geographic distribution of Andean epiphytes, mainly represented by Tillandsioideae, that have large geographical distributions. Larger-scale analyses and standardized methods are necessary to verify whether the narrow geographical distribution of most epiphytic bromeliads in the Una region is consistent across different forest types of the Atlantic Rainforest.
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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 type and quality of the data used to calibrate correlative models. In terms of data type, the most popular techniques in use are group discrimination techniques, those that use both presence and absence locality data to make predictions. However, for many organisms absence data are either not available or are considered to be unreliable. As the available range of profile techniques (those using presence only data) appeared to be limited, new profile techniques were investigated and evaluated. A new profile modelling technique based on fuzzy classification (the Fuzzy Envelope Model) was developed and implemented. A second profile technique based on Principal Components Analysis was implemented and evaluated. Based on quantitative model evaluation tests, both of these techniques performed well and show considerable promise. In terms of data quality, the effects on model performance of false absence records, the number of locality records (sample size) and the proportion of localities representing species presence (prevalence) in samples were investigated for logistic regression distribution models. Sample size and prevalence both had a significant effect on model performance. False absence records had a significant influence on model performance, which was affected by sample size. A quantitative comparison of the performance of selected profile models and group discrimination modelling techniques suggests that different techniques may be more successful for predicting distributions for particular species or types of organism than others. The results also suggest that several different model design! sample size combinations are capable of making predictions that will on average not differ significantly in performance for a particular species. A further quantitative comparison among modelling techniques suggests that correlative techniques can perform as well as simple mechanistic techniques for predicting potential distributions.
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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 database or atlas. Considering the threats faced by amphibians and reptiles worldwide and consequently the need for an update overview of their diversity and distribution in Angola, we compiled a database with the available published bibliographical data on amphibian and reptile occurrences in Angola, updated the taxonomy and nomenclature for every citation and mapped the species occurrences in the country; Distribuição Geográfica dos Anfíbios e Répteis em Angola RESUMO: Angola está entre os maiores países de África e, devido à sua ampla variedade geográfica e climática, apresenta uma grande diversidade de biomas e habitats. É considerado um dos países mais ricos em biodiversidade, contudo o seu conhecimento encontra-se extremamente incompleto. Os dados relativos à distribuição de espécies de anfíbios e répteis em Angola encontram-se dispersos por todo o Mundo, em instituições como Museus de História Natural, bem como em livros e artigos publicados desde a segunda metade do século XIX, não se encontrando esta informação atualmente disponível em qualquer base de dados ou atlas. Considerando as ameaças globais enfrentadas por este grupo animal e a consequente necessidade de atualização do seu conhecimento para Angola, procedemos à compilação de uma base de dados atualizada sobre as suas ocorrências, atualizando o status taxonómico e nomenclatural para cada espécie e consequente criação de mapas de distribuição.
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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 abuse were retrieved. 4241 (52.7%) were female and 3814 (47.3%) were male. There was a significant increasing trend of child abuse steadily in the whole territory over the study period. There were significant differences in the number of child abuse cases among different districts (p = 0.0038). Yuen Long, followed by Tuen Mun, constituted the highest numbers of child abuse cases, with 970 cases (12%) and 896 cases (11.1%) identified respectively. The mean age of onset of child abuse was 8.5 years old, while the mean number of hospital admission was 2.3 episodes during the study period. For length of hospital stay, the overall mean was 6.5 days. There was no significant difference among the clusters. The overall rate of suicidal attempt was 1.6%. The rate of suicidal attempt in New Territory west cluster (2.5%) was 2.8 times of that of Hong Kong west cluster (0.9%) (p<0.0001). The number of injury diagnosis, mental health problem, developmental delay, behavioral problem, antisocial or conduct problem, were also significantly different among different clusters. (p<0.05). Conclusion: There was a significant increasing trend of child abuse in the past decade in Hong Kong. In addition, the present study demonstrated a significant geographical variation in the number of child abuse cases as well as their associated co-morbidities. The identification of areas with higher rates of child abuse and associated co-morbidities poses important implication on service planning and policy making.
published_or_final_version
Paediatrics and Adolescent Medicine
Master
Master of Medical Sciences
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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, called PowerGLF. The aim of this research was to assess any improvements (or lack thereof) that were brought about by adopting the GLF method as compared to the legacy method that was used previously. The hypothesis to be tested was declared as: “The use of the GLF method that was introduced to Eskom Distribution Planning brings about the improvement on the planning process of infrastructure that is adequate, reliable and economic, when compared to the legacy method that was used before it.” To carry out this assessment, a case study method was followed. Real network studies that were compiled in 2006 and 2007 were used. These network studies were based on GLF method and the legacy method. The load forecasts from the case studies were evaluated on forecast accuracy, how they influenced the planning of adequate, reliable and economic (ARE) network infrastructure and their impact on the procurement and construction of the network infrastructure (which represent the actual utility expenditure on infrastructure). The statistical comparative analysis was done. The research results revealed that the legacy method was more accurate than the GLF method in both the case studies that were evaluated. However, regarding the ability of a load forecast method to support the planning process, the GLF method showed to be supporting the planning of adequate, reliable and economic infrastructure better than the legacy method. It was found that the forecast error for the GLF and legacy method do not affect the utility infrastructure procurement and construction. Based on the test results, the study reached a conclusion that the use of the GLF method that was introduced to Eskom Distribution Planning brings about the improvement in the planning process of infrastructure that is adequate, economic and reliable when compared to the legacy method that was used before it. The author wishes to express that the results of this study must not be taken as a generic conclusive finding regarding the evaluated load forecasting methods; they are applicable to the tested case studies. To get to a general conclusive result, more case studies would need to be carried out where clear and consistent evidence on performance of these load forecasting methods will be seen. The findings of this study can be used as part of a larger sample if such a larger population of case studies was to be evaluated. The methodology followed in this research can be repeated and followed when similar assessments are done in future.
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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 also shared morphological and taxonomic similarities. The candidate species chosen were the two Cape hake species, shallow-water hake Meluccius capensis, and deep-water hake Merluccius paradoxus, and the two pleuronectiform species being Agulhas sole Austroglossus pectoralis and redspotted tonguesole Cynoglossus zanzibarensis. The use of a GIS was appropriate and allowed for hidden spatial patterns be exposed and illustrated visually, while also facilitating the quantification of the relationships between distribution/abundance and certain environmental predictors using statistical methods The Department of Marine and Coastal Management, Cape Town, supplied biological data in the form of length frequency and biomass information from spring (AprillMay) and autumn (September/October) cruises conducted between 1986 and 1993 on the R. V. Africana. The Council for National Geoscience, Cape Town, supplied sediment data for the entire southern African coastline. Initial exploratory data analysis highlighted potential relationships between environmental variables and abundance for each specie's life-history stanzas. Variations in spatial distribution were found to be significantly different between each life-history stanzas within species. Fish density as a function of the additive effects of the various environmental parameters, including temperature, depth and sediment type, was assessed using a Poisson Generalized Additive Model (GAM), while distribution was analysed with a logistic GAM. A predictive logistic model was then created, taking into consideration the importance of the predictor variables for each species, allowing for predictive estimates to be made for each species by inputting environmental information within the study area. The importance of certain environmental variables influencing distribution and abundance were noted. General patterns indicated that sediment was the most important to both the distribution and abundance of the two pleuronectiform species and juvenile life-history stanzas, while the adult gadoids' distribution and abundance appeared to be depth dependent.
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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 Management for Local Community Development Programme). The development of advanced computing and GIS technology has increased the scope of biological atlas projects by facilitating the integration of large amounts of spatial data to produce derived databases for specific applications. The atlas of freshwater fish was constructed using TNTmips GIS software as the most practical system available for managing and analysing biological data with a spatial component. The atlas contains 35 180 comprehensive distribution records of 735 species of fish. It has many applications as an inventory of ichthyofaunal spatial biodiversity, including those of conservation planning, environmental assessment and biogeographic research. Biogeographic studies have traditionally been subjective due to the logistical problems of working with large amounts of distribution data, although some small-scale quantitative research has been carried out in the past. The content of the atlas of freshwater fish is tested with respect to these previous studies, on known patterns of freshwater fish distributions, and the analytical capability of the atlas is tested and demonstrated with some new preliminary approaches to the analysis of freshwater fish distributions in southern Africa.
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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 remaining uniformly low as far as 58°N. Although climate sensitivity of beaver abundance and the greatest changes in future beaver density are predicted to occur near the middle of their range, beavers are expected to occupy most of the province by 2055. These results highlight the value of incorporating density estimates from across a species' range into climate envelope models.
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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 plotted and analysed using a Geographic Information System (GIS) to test the hypotheses that patterns of distribution were not random, were associated with bathymetry and reflected specific differences in habitat use. The resulting maps illustrated the clustered distribution of rorqual whales linked to sea-bottom topography, probably associated with areas of local upwelling and increased productivity. Blue and fin whales shared almost the same distribution, humpback whales were found in slightly deeper, offshore waters whereas minke whales were more abundant in shallower waters. Little attention has been given until now to local patterns of distribution in the area and such information can be useful for practical management considerations. The results emphasise the importance of scale in ecological studies of marine mammals and the need for further research using additional oceanographic parameters, in order to better understand habitat selection.
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Books on the topic "Geographical distribution"

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

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Foissner, W., and David L. Hawksworth, eds. Protist Diversity and Geographical Distribution. Dordrecht: 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. Venezia: Regione Veneto, 2014.

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Hunault, Gérard. Atlas des plantes protégées de la Sarthe. [Paris]: 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. Paris: 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. New Haven: Yale University Press, 1993.

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

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

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

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

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Book chapters on the topic "Geographical distribution"

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Spradbrow, P. B. "Geographical Distribution." In Newcastle Disease, 247–55. Boston, MA: 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, 9–12. Singapore: 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, 31–36. Tokyo: 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, 181–209. Singapore: 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, De Qun Zhou, Li Sha Ma, Jun Yao, and Xuelian Liu. "Geographical Distribution of Bambusoideae." In Illustrated Flora of Bambusoideae in China, 1–13. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-10-8580-2_27-1.

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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, 78–79. Wallingford: 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, De Qun Zhou, Li Sha Ma, Jun Yao, and Xue Lian Liu. "Geographical Distribution of Bambusoideae." In Illustrated Flora of Bambusoideae in China, 19–31. Singapore: 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, 173–84. Dordrecht: 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, 93–100. Dordrecht: Springer Netherlands, 1989. http://dx.doi.org/10.1007/978-94-009-0931-1_9.

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Spinage, C. A. "Species Affected and Geographical Distribution." In Cattle Plague, 29–42. Boston, MA: Springer US, 2003. http://dx.doi.org/10.1007/978-1-4419-8901-7_2.

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Conference papers on the topic "Geographical distribution"

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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 share of the top 10% high-novelty papers by field in China and the United States, which contribute globally to the top 10% of high-novelty papers.
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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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RIVERA, Maria, Alina SEEBACHER, and José Maria DIAZ PUENTE. "RURAL ECONOMY: A GEOGRAPHICAL DISTRIBUTION OF SCIENTIFIC DISCOURSE." In Rural Development 2015. Aleksandras Stulginskis University, 2015. http://dx.doi.org/10.15544/rd.2015.083.

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In the political system and in public perception, the well-functioning of economy is frequently equalled to the output of the national economy–that is, the Gross Domestic Product (GDP). However, during the last decades, this narrow conception of economic prosperity started to erode. This paper describes the scientific discussion surrounding the topic of “economy” in rural places, with the objective of exploring who is setting the agenda and which themes are prevalent. We examine 102 journal papers published during the last decade and design a methodological frame based on Nvivo10 software which combines quantitative analysis of geographical attributes (geographical location; journal’s precedence; author’s institution) and qualitative content analysis of the selected articles. Our results put forward that “rural economy” is conceptually linked to different societal spheres in areas such as development and progress, society and community, resources and sustainability. However, it is authors coming from developed countries the ones that mainly treat this issue and base their studies mainly on developing countries. Therefore it can be concluded that scientific discourse around rural economy deals with issues of interest to developed countries, but that it has, however, started to get linked to social and environmental aspects, and it is through achieving a balance between them that rural prosperity will be achieved.
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Stenshin, Ilya M., Ivan V. Blagoveshchenskii, and Igor A. Shumilkin. "DISTRIBUTION OF ELASMOSAURID REMAINS IN THE HAUTERIVIAN DEPOSITS OF THE ULYANOVSK VOLGA REGION." In Treshnikov readings – 2021 Modern geographical global picture and technology of geographic education. Ulyanovsk State Pedagogical University named after I. N. Ulyanov, 2021. http://dx.doi.org/10.33065/978-5-907216-08-2-2021-269-271.

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Reports on the topic "Geographical distribution"

1

Shen, Yu-Chu, and Renee Hsia. Geographical Distribution of Emergency Department Closures and Consequences on Heart Attack Patients. Cambridge, MA: National Bureau of Economic Research, November 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. Cambridge, MA: National Bureau of Economic Research, February 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), February 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), May 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), March 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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Maeno, Yoshiharu. Epidemiological geographic profiling for a meta-population network. Web of Open Science, December 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, and incomprehensive. It may also imply that globally connected Hong Kong was more influential as a spreader than China. Singapore, Taiwan, Canada, and the United States follow Hong Kong in the likeliness ranking list
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Gradín, Carlos. WIID Companion (March 2021): global income distribution. UNU-WIDER, March 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 produce it. The dataset also includes estimates of various global absolute and relative inequality measures, and the income share of key population groups. All estimates are further disaggregated by the contribution of inequalities within and between countries, as well as by each country’s geographical region and income group. While previous technical notes described the selection of country income distribution series and the integration and standardization process to overcome the heterogeneity in original welfare concepts and other methods, I here describe all the necessary additional steps and assumptions made to construct the new global dataset.
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Kholoshyn, I., T. Nazarenko, O. Bondarenko, O. Hanchuk, and I. Varfolomyeyeva. The application of geographic information systems in schools around the world: a retrospective analysis. IOP Publishing, March 2021. http://dx.doi.org/10.31812/123456789/4560.

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The article is devoted to the problem of incorporation geographic information systems (GIS) in world school practice. The authors single out the stages of GIS application in school geographical education based on the retrospective analysis of the scientific literature. The first stage (late 70 s – early 90s of the 20th century) is the beginning of the first educational GIS programs and partnership agreements between schools and universities. The second stage (mid-90s of the 20th century – the beginning of the 21st century) comprises the distribution of GIS-educational programs in European and Australian schools with the involvement of leading developers of GIS-packages (ESRI, Intergraph, MapInfo Corp., etc.). The third stage (2005–2012) marks the spread of the GIS school education in Eastern Europe, Asia, Africa and Latin America; on the fourth stage (from 2012 to the present) geographic information systems emerge in school curricula in most countries. The characteristics of the GIS-technologies development stages are given considering the GIS didactic possibilities for the study of school geography, as well as highlighting their advantages and disadvantages.
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Холошин, Ігор Віталійович, Тетяна Геннадіївна Назаренко, Ольга Володимирівна Бондаренко, Олена Вікторівна Ганчук, and Ірина Миколаївна Варфоломєєва. The Application of Geographic Information Systems in Schools around the World: a Retrospective Analysis. КДПУ, 2020. http://dx.doi.org/10.31812/123456789/3924.

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The article is devoted to the problem of incorporation geographic information systems (GIS) in world school practice. The authors single out the stages of GIS application in school geographical education based on the retrospective analysis of the scientific literature. The first stage (late 70s – early 90s of the XX century) is the beginning of the first educational GIS programs and partnership agreements between schools and universities. The second stage (mid-90s of the XX century – the beginning of the XXI century) comprises the distribution of GIS-educational programs in European and Australian schools with the involvement of leading developers of GIS-packages (ESRI, Intergraph, MapInfo Corp., etc.). The third stage (2005–2012) marks the spread of the GIS school education in Eastern Europe, Asia, Africa and Latin America; on the fourth stage (from 2012 to the present) geographic information systems emerge in school curricula in most countries. The characteristics of the GIS-technologies development stages are given considering the GIS didactic possibilities for the study of school geography, as well as highlighting their advantages and disadvantages.
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