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Journal articles on the topic 'Geographical distribution'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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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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2

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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3

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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4

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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5

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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6

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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7

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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8

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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9

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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10

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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11

Shen, Chao, Zheng Cao, Zhiyong Xu, et al. "Population Genomics Unravels the Characteristic Relationship between Introgression and Geographical Distribution in Upland Cotton." Agronomy 13, no. 7 (2023): 1781. http://dx.doi.org/10.3390/agronomy13071781.

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Introgression is an important driver of new genetic variation that increases species and genetic diversity. However, the relationship between introgression and geographic distribution of upland cotton is still unclear. Herein, we explored geographically comprehensive genomic data based on 890 upland cotton accessions to decipher the degree of introgression between different geographic distributions and its effect on selection and fiber quality. We found introgression intervals to exist across different geographic distributions. Introgression is affected by the similarity of the environment in

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12

Ismatova, Zulaykho A., and Shokhsanam N. Kamalova. "DISTRIBUTION AND IMPORTANCE OF ALGAE IN THE GEOGRAPHICAL ENVIRONMENT." Journal of Geography and Natural Resources 03, no. 02 (2023): 8–12. http://dx.doi.org/10.37547/supsci-jgnr-03-02-02.

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13

NATORI, Masahito. "Geographical Distribution of Lönnberg's Tamarin." Primate Research 18, no. 3 (2002): 347–50. http://dx.doi.org/10.2354/psj.18.347.

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14

Wood-Eggenschwiler, S., and F. Bärlocher. "Geographical distribution of Ingoldian fungi." SIL Proceedings, 1922-2010 22, no. 5 (1985): 2780–85. http://dx.doi.org/10.1080/03680770.1983.11897774.

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15

Schoener, T. W. "The geographical distribution of rarity." Oecologia 74, no. 2 (1987): 161–73. http://dx.doi.org/10.1007/bf00379356.

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16

Foley, Jennifer A., and Sergio Della Sala. "Geographical distribution of Cortex publications." Cortex 46, no. 3 (2010): 410–19. http://dx.doi.org/10.1016/j.cortex.2009.11.010.

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17

Komilova, N., N. Mukhammedova, N. Ermatova, Z. Ibragimova, and S. Bafoeva. "Pandemics and their geographical distribution." EMERGENCY MEDICINE 19, no. 6 (2023): 386–92. http://dx.doi.org/10.22141/2224-0586.19.6.2023.1617.

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Background. The relevance of the presented article is due to an increase in the incidence of COVID-19 and the pandemic getting out of control. In the current conditions, the experience of previous generations and ancient pandemics will be useful for further study of the situation. The purpose of the article is to compare and analyze the experience of overcoming and passing through pandemic states and periods in the history of mankind, as well as to draw up possible theoretical methods for influencing the current situation through this experience. Materials and methods. To reveal the topic, aut

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18

Ganawa, El Taib S., Mesoud A. Bushara, Abdelrahman E. A. Musa, Sahar M. Bakhiet, and Ahmed H. Fahal. "Mycetoma spatial geographical distribution in the Eastern Sennar locality, Sennar State, Sudan." Transactions of The Royal Society of Tropical Medicine and Hygiene 115, no. 4 (2021): 375–82. http://dx.doi.org/10.1093/trstmh/trab029.

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Abstract Background Mycetoma is a unique neglected tropical disease caused by a substantial number of different fungi or bacteria. Many of the disease's epidemiological characteristics are an enigma. Hence, understanding the spatial geographic distribution of mycetoma may clarify the association between the local environmental indicators, the spatial geographical distribution of mycetoma and its epidemiology. Methods This study set out to determine the spatial geographical distribution of mycetoma in the Eastern Sennar locality, Sennar State, one of the highly endemic states in Sudan. It inclu

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19

Cabunagan, R. C., and H. Koganezawa. "Geographical Distribution of Varieties Resistant to Rice Tungro Disease (RTD)." International Rice Research Notes 18, no. 1 (1993): 21. https://doi.org/10.5281/zenodo.6823015.

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This article 'Geographical Distribution of Varieties Resistant to Rice Tungro Disease (RTD)' appeared in the International Rice Research Notes series, created by the International Rice Research Institute (IRRI) to expedite communication among scientists concerned with the development of improved technology for rice and rice-based systems. The series is a mechanism to help scientists keep each other informed of current rice research findings. The concise scientific notes are meant to encourage rice scientists to communicate with one another to obtain details on the research reported.

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20

Seto, T., and Y. Nishimura. "ANALYSIS OF THE SPATIOTEMPORAL ACCUMULATION PROCESS OF MAPILLARY DATA AND ITS RELATIONSHIP WITH OSM ROAD DATA: A CASE STUDY IN JAPAN." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVIII-4/W1-2022 (August 6, 2022): 403–10. http://dx.doi.org/10.5194/isprs-archives-xlviii-4-w1-2022-403-2022.

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Abstract. This paper presents a geospatial analysis of a FlatGeobuf database composed of six years of geographic data on approximately 41.7 million Mapillary photo shooting locations throughout Japan and geospatial data including road data from OpenStreetMap (OSM). Although Mapillary has a shorter track record than OSM, it is a massive data source and its use as a new resource for volunteered geographic information is expected to attract attention in the future. Therefore, we aim to clarify the geographical distribution of Mapillary users and time-series transitions and attempt to analyze the

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21

Li, Feng, Gang Wan, Zong Pei Zhang, and Jin Min Liao. "Connectivity Calculation Method of the Simulation Entities Based on Geographical Information Grid." Applied Mechanics and Materials 427-429 (September 2013): 2738–42. http://dx.doi.org/10.4028/www.scientific.net/amm.427-429.2738.

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Geographical information grid can not only manage geospatial data, but also can manage the spatial distribution of 3-dimensional simulation entities. Using geographical information grid technology could divided the earth into different resolution of global series of geographic grid, registering the grid according to the geographical coordinates and technique index of simulation entities, building space position relations between entities, , improving the computation efficiency of connectivity test of simulation entity based on geographic grid simulation entity beforehand.

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22

Takatama, Masamitsu, and Takashi Watanabe. "Geographical Distribution of Suicide Death Rates." KITAKANTO Medical Journal 49, no. 4 (1999): 247–54. http://dx.doi.org/10.2974/kmj.49.247.

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23

Magyar, Peter. "Geographical distribution of membership [Chapter News]." IEEE Industry Applications Magazine 15, no. 2 (2009): 75–78. http://dx.doi.org/10.1109/mias.2009.931812.

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24

Clark, Dean. "The geographical distribution of SEG awards." Leading Edge 25, no. 9 (2006): 1107–17. http://dx.doi.org/10.1190/tle25091107.1.

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25

Zeuner., Friedrich E. "THE GEOGRAPHICAL DISTRIBUTION OF TYMPANOPHORA WHITE." Proceedings of the Royal Entomological Society of London. Series A, General Entomology 11, no. 6-12 (2009): 87. http://dx.doi.org/10.1111/j.1365-3032.1936.tb00878.x.

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26

Mabey, David. "Mapping the geographical distribution of yaws." Lancet Global Health 3, no. 6 (2015): e300-e301. http://dx.doi.org/10.1016/s2214-109x(15)00003-0.

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27

Wiwanitkit, Somsri, and Viroj Wiwanitkit. "Hemoglobin Pakse: prevalence and geographical distribution." Asian Pacific Journal of Tropical Disease 4, no. 5 (2014): 401. http://dx.doi.org/10.1016/s2222-1808(14)60595-8.

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28

Guerin, Marc B., Thomas H. Flynn, Janice Brady, and Colm J. O’ Brien. "Worldwide geographical distribution of ophthalmology publications." International Ophthalmology 29, no. 6 (2008): 511–16. http://dx.doi.org/10.1007/s10792-008-9278-3.

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29

López‐Bazo, Enrique, Tomás Del Barrio, and Manuel Artís. "Geographical distribution of unemployment in Spain." Regional Studies 39, no. 3 (2005): 305–18. http://dx.doi.org/10.1080/00343400500087034.

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30

AASVED, HENRY. "THE GEOGRAPHICAL DISTRIBUTION OF FIBRILLOPATHIA EPITHELIOCAPSULARIS." Acta Ophthalmologica 47, no. 3 (2009): 792–810. http://dx.doi.org/10.1111/j.1755-3768.1969.tb08170.x.

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31

Cockerell, T. D. A. "On the Geographical Distribution of Slugs." Proceedings of the Zoological Society of London 59, no. 2 (2009): 214–26. http://dx.doi.org/10.1111/j.1096-3642.1891.tb01744.x.

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32

Bashkirova, I. G., E. V. Karimova, G. N. Bondarenko, and I. P. Smirnova. "Geographical distribution of Candidatus Phytoplasma pyri." Защита и карантин растений, no. 11 (2022): 25–27. http://dx.doi.org/10.47528/1026-8634_2022_11_25.

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33

Aydin, Levent, and Serkan Bakirci. "Geographical distribution of ticks in Turkey." Parasitology Research 101, S2 (2007): 163–66. http://dx.doi.org/10.1007/s00436-007-0694-5.

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34

Lewinsohn, Thomas M. "The geographical distribution of plant latex." Chemoecology 2, no. 1 (1991): 64–68. http://dx.doi.org/10.1007/bf01240668.

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35

Bahali, D., M. Sanjappa, and S. Rath. "Geographical distribution of Iridaceae in India." Indian Journal of Forestry 27, no. 3 (2004): 251–56. http://dx.doi.org/10.54207/bsmps1000-2004-4hx573.

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India is represented by only 34 species and 5 varieties under 14 genera of Iridaceae. The wild and naturalised species are distributed in 5 phytogeographical regions, viz., Trans-Himalaya, West Himalaya, Eastern Himalaya, North East India and Western Ghats. The wild species are restricted to the Himalayas. The regionwise, taxonwise and altitudewise distribution of Indian Iridaceae is given in this paper.

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36

Prabhat, Narayan (Settler/Founder). "GEOGRAPHICAL DISTRIBUTION AND AREA OF AEDES." International Journal of Engineering Sciences & Management Research 7, no. 6 (2020): 1–5. https://doi.org/10.5281/zenodo.3908708.

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 In these respect an another information DEET treated skin repelled these mosquito although DEET does not appear to have very successful results.<sup> [1]</sup>Aedes aegypti mosquito originated in Africa, but Aedes aegypti is now found in Asian temperate, tropical and subtropical region including Indian Territory. Aedes aegypti is the vector for transmitting several diseases like Dengue fever, Chikungunya. In these respect an another information DEET treated skin repelled these mosquito although DEET does not appear to have very successful results.<sup> [1]</sup>

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37

Doggett, Coleman A., and Don R. Tweed. "Geographical Intensity of Southern Pine Beetle Infestations." Southern Journal of Applied Forestry 18, no. 4 (1994): 145–46. http://dx.doi.org/10.1093/sjaf/18.4.145.

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Abstract Data on the geographical distribution and frequency of multiple-tree infestations of southern pine beetle (SPB) (Dendroctonus frontalis Zimm.) collected in North Carolina from 1960-1980 were analyzed. A Geographical Information System (GIS) was used to construct a map showing geographical distribution of SPB from 1960-1980. Beetle intensity, measured in numbers of infestations (spots)per thousand acres of host type, is shown. The authors point out that infestation intensities vary geographically. The location of pine timberland in respect to SPB hazard may dictate economic and silvicu

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38

Gabriel, M., M. H. Cayetano, M. L. Galante, F. C. Carrer, G. Dussault, and M. E. Araujo. "A Global Overview of the Geographical Distribution of Dentists: A Scoping Review." JDR Clinical & Translational Research 3, no. 3 (2018): 229–37. http://dx.doi.org/10.1177/2380084418774316.

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The objective of this study was to identify and analyze the geographic distribution of dentists, in the global context, through available scientific evidence, highlighting the following aspects: 1) the determinants of the geographic distribution of dentists, 2) corrective intervention implemented, and 3) their monitoring and evaluation. A scoping review of the published and gray literature was carried out in scientific databases and in relevant websites. We used an adaptation of a World Health Organization framework to study the distribution of human resources in health to analyze selected pub

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39

Maradin, Mladen, and Ivan Madžar. "Geographical Distribution of Precipitation Variability in Croatia and Bosnia and Herzegovina." Hrvatski geografski glasnik/Croatian Geographical Bulletin 76, no. 2 (2015): 5–26. http://dx.doi.org/10.21861/hgg.2014.76.02.01.

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40

Abo-Saiba, Ayman Adnan Jabr. "GEOGRAPHICAL DISTRIBUTION OF BLOOD GROUP VARIATION IN NAJAF GOVERNORATE (2023-2024)." American Journal Of Social Sciences And Humanity Research 4, no. 8 (2024): 62–82. http://dx.doi.org/10.37547/ajsshr/volume04issue08-05.

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The research aims to show how blood groups are distributed in the Najaf Governorate and analyze them according to the main blood groups (A, B, AB, O). The expected results include a different distribution of blood groups across urban and rural areas and the potential effects of social and economic factors on this distribution. Therefore, the main focus of the research was to know the prevailing blood groups and the degree of diversity of those groups according to the administrative units in the study area. This study has practical implications as it contributes to enhancing the understanding o

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41

Mio, Jeilani Busuri, Moktar Omar Sheikh Mohamed, and Adam Mohamed Ali. "Study of Geographical Distribution of Mosquitoes Vector in Lower Shabelle-Somalia." International Journal of Research Publication and Reviews 4, no. 5 (2023): 5153–64. http://dx.doi.org/10.55248/gengpi.4.523.43262.

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42

Toshboev, Zafarjon Makhramkulovich. "Geographic Distribution of Oases in Arid Regions." Journal of Geography and Natural Resources 01, no. 01 (2021): 1–7. http://dx.doi.org/10.37547/jgnr-01-01.

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This article examines the oases that appeared on the inhabited continents of the planet. Historically, in the desert regions formed two main types of irrigated agriculture - small oasis and large oasis. Small oasis farming as a geographical type is developed in the vicinity of small water sources (small streams, streams, springs) in the foothills and in areas where deserts are flooded, groundwater leaks, temporarily adjacent to runoff. The fields of different sizes within the oases made them look like dry sheets, while at the same time showing property and legal inequality.

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43

Uddin, Shabbir, Sandeep Chakravorty, Karma Sonam Sherpa, and Amitava Ray. "Power Distribution System Planning Using Q-GIS." International Journal of Energy Optimization and Engineering 7, no. 2 (2018): 61–75. http://dx.doi.org/10.4018/ijeoe.2018040103.

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This article focuses on the usage and advantage of incorporating Geographical Information System for advancing the power distribution system. Geographical Information System-based electricity distribution system planning strategies are applied to determine optimum routing. Existing and proposed layouts have been drawn using GIS-based software Q-GIS 2.12.3. This software helps attach data with the corresponding geographic. A comparison between the Newton-Raphson load flow study of existing and proposed layouts of distribution systems has been performed to find the technical viability of the pro

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44

Ali, Lamia, and Fahd Manukh. "Geographical distribution of Secondarys schools in Mosul using Geographical Information Systems (GIS)." College Of Basic Education Research Journal 16, no. 4 (2020): 593–620. http://dx.doi.org/10.33899/berj.2020.167229.

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45

Wei, Juan, Yongde Zhong, and Jingling Fan. "Estimating the Spatial Heterogeneity and Seasonal Differences of the Contribution of Tourism Industry Activities to Night Light Index by POI." Sustainability 14, no. 2 (2022): 692. http://dx.doi.org/10.3390/su14020692.

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The spatial distribution of tourism has a profound impact on its operational efficiency and geographical relevance. Point of interest (POI), as a kind of spatial data shared by subject and object, can reflect the spatial distribution form and function of tourism geographical objects under the all-for-one tourism policy. Continuous satellite observation and in-depth study of night lights pave the way to clarify human activities and socio-economic dynamics. The purpose of this paper is to investigate the seasonal changes of night light images and their correlation with tourism in 122 counties (c

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46

Cherkashin, A. K., and A. A. Frolov. "Comparative Geographical Analysis of the Altitudinal Distribution of Geomes in Different Physico-Geographical Regions." Bulletin of Irkutsk State University. Series Earth Sciences 51 (2025): 107–24. https://doi.org/10.26516/2073-3402.2025.51.107.

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On the example of geosystems of the Baikal region, a new algorithm of comparative geographical methods of landscape analysis of high-altitude differentiation of territories has been developed and implemented to identify the regional specifics of the areal manifestation of different geomes (the smallest homogeneous geosystems of the regional level) by altitude factor.The frequency distributions (occurrences) of geome habitats by elevation gradations were used as initial data, obtained by overlay methods, i.e. superimposing digital elevation model onto a geome grid of a digital landscape map of

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47

الخرافي, عبدالله بن عبدالمحسن, and أحمد بن محمد البسام. "Geographical Distribution of Primary Schools “Boys” in Unaizah Governorate Using Geographic Information Systems." مجلة دراسات الخليج والجزيرة العربية 48, no. 186 (2022): 149–201. http://dx.doi.org/10.34120/jgaps.v48i186.2923.

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الأهداف: تهدف الدراسة إلى تَعَقُّب التطور التاريخي للمدارس الابتدائية للبنين في محافظة عنيزة، وتعرّف التوزيع الجغرافي الحالي "1442هـ"، وقياس وتحليل التوزيع المكاني الأنسب للمدارس الابتدائية للبنين. المنهج: ترتكز هذه الدراسة بشكل رئيس على المنهج التحليلي المكاني، والمنهج الكمي التحليلي، إضافة إلى المنهج التاريخي، والمنهج الوصفي، واعتمدت الدراسة على البيانات التعليمية الصادرة عن وزارة التعليم وإدارة التعليم في محافظة عنيزة، واستخدم عدد من الأساليب الإحصائية؛ كدليل التركز، والجار الأقرب، وبرنامج تقنية نظم المعلومات الجغرافية (GIS)، كما استخدم برنامج SPSS لتعرّف مدى قوة العلاقات الارتباطية بين الم

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48

Dianta, Ashafidz Fauzan, Toga Aldila Cinderatama, and Fery Sofian Efendi. "The Geographic Information System of The Distribution of Larva Free Rates in Kediri City Area." Journal of Applied Geospatial Information 5, no. 1 (2021): 424–30. http://dx.doi.org/10.30871/jagi.v5i1.2485.

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The process of representing the distribution of larva free numbers in the district of Kediri which is not visible makes the monitoring process for larva free rates per region less effective and efficient. Therefore, a geographic information system is needed to describe the distribution of larva free numbers in the Kediri Regency area. The design and development of this information system is carried out using two methods, one of which is the data collection method by conducting interviews with one of the staff in the Kediri district Health Office, observing and looking for references related to

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49

Devadatha, B., E. B. G. Jones, K. L. Pang, et al. "Occurrence and geographical distribution of mangrove fungi." Fungal Diversity 106, no. 1 (2021): 137–227. http://dx.doi.org/10.1007/s13225-020-00468-0.

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50

Ketenchyev, Kh A. "ADAPTEITION STRATEGY OF GEOGRAPHICAL DISTRIBUTION OF DRAGONFLIES." South of Russia: ecology, development, no. 1 (November 15, 2014): 82. http://dx.doi.org/10.18470/1992-1098-2011-1-82-88.

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