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Journal articles on the topic 'Geographical distribution'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 August 2024

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1

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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2

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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3

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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4

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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5

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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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 (January 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, 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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8

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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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 (July 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 (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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11

Shen, Chao, Zheng Cao, Zhiyong Xu, Lejun Ouyang, Xumin Zhang, Zhishan Guo, Jieli Yu, Rong Chen, and Wenxi Huang. "Population Genomics Unravels the Characteristic Relationship between Introgression and Geographical Distribution in Upland Cotton." Agronomy 13, no. 7 (June 30, 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 which they live, and those with similar ecological environments tend to share the same introgression area. Introgression is affected by artificial selection. A genome-wide association study (GWAS) meta-analysis was performed with 6 fiber traits and identified 261 quantitative trait loci (QTLs). We found that 67 QTLs had introgression signals, and the genome interval size was 118.81 Mb, while 123 QTLs had selection signals, and the genomic interval was 28.38 Mb. These results provide insights into the population-scaled introgression landscape, suggesting that introgression contributed to the cotton genetic improvement, which provides a useful reference for studying intraspecific introgressions from different geographical distributions in other species.

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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 (March 1, 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 (June 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 (March 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 (November 12, 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, authors used the methods of comparative analysis, historical perspective, induction and deduction, as well as an appeal to archival sources and international authors. Results. Thanks to the derived statistics of the incidence of coronavirus, preventive measures have been created against the spread of the pandemic, the use of which in the future will significantly reduce the risks of morbidity. Conclusions. In the field of studying COVID-19, the experience of previous epidemic periods of history has not been applied on a global scale, which determines the novelty of the presented article.

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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 (March 1, 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 included 594 patients with confirmed mycetoma seen at the Mycetoma Research Centre, University of Khartoum, Khartoum, Sudan, from 1991 to 2020. The spatial geographical distribution of these mycetoma patients was studied. The study area geographic information system data, which included geological, soil, temperature and land cover details, were collected in different geographic information forms. Different geographical analytical techniques were used. Results The patients' demographic characteristics were similar to those of the general characteristics of mycetoma patients in Sudan. Eumycetoma was the predominant type of mycetoma encountered in the studied patients. The data studied showed that most patients were located in the southern part of the locality along the Blue Nile river. The study showed an association between patients' spatial geographical distribution and soil types. Most patients’ localities had light clay soil (475 patients [80%]), followed by sandy loam soil (79 [13%]) then loam soil (40 [6.71%]). Also, 85% of patients' localities had the same land cover and vegetation. There was no significant correlation between patients' localities with temperature or any other geological characteristic. Conclusion The present study showed certain associations between mycetoma spatial geographical distribution and certain environmental indicators. However, a further in-depth study to provide greater insight into the disease's epidemiological characteristics is needed.

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19

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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20

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

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21

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

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22

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 (April 2, 2009): 87. http://dx.doi.org/10.1111/j.1365-3032.1936.tb00878.x.

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23

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

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24

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

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25

Guerin, Marc B., Thomas H. Flynn, Janice Brady, and Colm J. O’ Brien. "Worldwide geographical distribution of ophthalmology publications." International Ophthalmology 29, no. 6 (November 21, 2008): 511–16. http://dx.doi.org/10.1007/s10792-008-9278-3.

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26

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

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27

AASVED, HENRY. "THE GEOGRAPHICAL DISTRIBUTION OF FIBRILLOPATHIA EPITHELIOCAPSULARIS." Acta Ophthalmologica 47, no. 3 (May 27, 2009): 792–810. http://dx.doi.org/10.1111/j.1755-3768.1969.tb08170.x.

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28

Cockerell, T. D. A. "On the Geographical Distribution of Slugs." Proceedings of the Zoological Society of London 59, no. 2 (August 20, 2009): 214–26. http://dx.doi.org/10.1111/j.1096-3642.1891.tb01744.x.

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29

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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30

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

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31

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

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32

Bahali, D., M. Sanjappa, and S. Rath. "Geographical distribution of Iridaceae in India." Indian Journal of Forestry 27, no. 3 (September 1, 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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33

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 relationships of these road landscape images with OSM road data and the local geographical distribution characteristics. Although the geographical distribution of Mapillary locations is biased, much information is collected for local roads, which may improve the quality of OSM road data and expand the overall road data.

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34

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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35

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 (February 23, 2015): 5–26. http://dx.doi.org/10.21861/hgg.2014.76.02.01.

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36

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 (June 2023): 5153–64. http://dx.doi.org/10.55248/gengpi.4.523.43262.

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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 (November 1, 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 silvicultural strategies for managing southern pines. South. J. Appl. For. 18(4): 145-146.

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38

Toshboev, Zafarjon Makhramkulovich. "Geographic Distribution of Oases in Arid Regions." Journal of Geography and Natural Resources 01, no. 01 (May 19, 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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39

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 (May 22, 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 publications. After applying the eligibility criteria, 53 publications were included in the review; 10 related to the determinants of geographical distribution, 5 to interventions implemented, and 38 to the monitoring and evaluation process. More studies are needed to identify local determinants of the geographical distribution of dentists and to define adapted intervention strategies to make it more equitable. Knowledge Transfer Statement: The geographic inequality of dentists is a problem for health systems because it has a direct impact on access to services and the oral health conditions of a population. Our study was based on a theoretical conceptual framework formulated in 3 components: 1) determinants of the geographical distribution, 2) strategies implemented to correct the problem, and 3) monitoring and evaluation. It can assist in designing oral health policy and guide decisions by policy makers.

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40

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 (November 1, 2020): 593–620. http://dx.doi.org/10.33899/berj.2020.167229.

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41

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 (April 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 proposed route. The information obtained from the power flow study is voltage at each load and the real power flowing in each line. The voltages found by the load flow analysis of existing and proposed layouts are compared to show the voltage increase. The developed system is tested on a 12 bus system substation of Sikkim Manipal Institute of Technology, Sikkim, India.

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42

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 (January 9, 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 (cities, districts) of Hunan Province. We obtained night earth observation data (seasonality) and POI in 2019 and processed them by Geographic Information System and statistical analysis (ordinary least squares (OLS) and geographically weighted regression (GWR)). The results show that the luminous radiation intensity is highly correlated with the POI of tourism activities. The POI of different tourism activities in different regions shows obvious spatial heterogeneity and seasonal differences, which is the result of the comprehensive effect of tourism resource distribution and social environment in Hunan Province. GWR has proved to be a more effective tool. It provides a new method and perspective for tourism research and especially reveals the geographical spatial differences of tourism activities, which is helpful to study the spatial distribution and seasonality of tourism at the county level. In addition, the spatial evaluation of the contribution of tourism and luminous radiation can provide reference and suggestions for relevant departments to formulate tourism night protection measures.

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43

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 (July 1, 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 المتغيرات. النتائج: أظهرت الدراسة أن هناك 11 مدرسة ابتدائية للبنين أنشئت قبل عام 1390هـ، وأن ما نسبته 24% من المدارس الابتدائية مشتركة في مبنى تعليمي واحد مع مراحل تعليمية أخرى، كما أظهرت الدراسة أن نمط توزيع المدارس عشوائي تام بمعدل 1.1 بحسب مقياس صلة الجوار، وأن هناك 56% من جملة المدارس الابتدائية تتداخل في نطاقها السكني فيما بينها، و71% من المدارس الابتدائية للبنين تتمركز في وسط محافظة عنيزة. الخاتمة: تخلص الدراسة إلى ضرورة الاستفادة من تقنية نظم المعلومات الجغرافية (GIS) في عمليات التخطيط التربوي وتوزيع المدارس الابتدائية للبنين، والعمل على دراسة اتجاهات النطاقات العمرانية ومعدلات النمو السكاني لتوفير الخدمات التعليمية بشكل أفضل، والأخذ بالاعتبار المعايير التخطيطية للخدمات بهدف تحقيق مخرجات تعليمية جيدة في بيئة صحية وتربوية.

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Devadatha, B., E. B. G. Jones, K. L. Pang, M. A. Abdel-Wahab, K. D. Hyde, J. Sakayaroj, A. H. Bahkali, et al. "Occurrence and geographical distribution of mangrove fungi." Fungal Diversity 106, no. 1 (January 2021): 137–227. http://dx.doi.org/10.1007/s13225-020-00468-0.

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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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LOURENÇO, W. R. "The scorpion families and their geographical distribution." Journal of Venomous Animals and Toxins 7, no. 1 (2001): 03–23. http://dx.doi.org/10.1590/s0104-79302001000100002.

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Samuel, Ashika Rachael, and Mrs Gayatri Devi. "Geographical distribution and occurrence of Endemic Goitre." Research Journal of Pharmacy and Technology 8, no. 8 (2015): 973. http://dx.doi.org/10.5958/0974-360x.2015.00162.6.

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Wei, LIU, ZHU Li, and SANG Wei-Guo. "POTENTIAL GLOBAL GEOGRAPHICAL DISTRIBUTION OF AMARANTHUS RETROFLEXUS." Chinese Journal of Plant Ecology 31, no. 5 (2007): 834–41. http://dx.doi.org/10.17521/cjpe.2007.0105.

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Sałata, Bogusław. "The geographical distribution of Taphrinales in Poland." Acta Mycologica 11, no. 1 (November 21, 2014): 23–48. http://dx.doi.org/10.5586/am.1975.003.

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The geographical distribution of the occurrence in Poland of the species of the <i>Taphrinales</i> order was discussed in the paper. Both the distribution of the host plants and the total distribution of these fungi was examined.

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El-Nakhal, Hamed A. "Geographical Distribution of the Foraminiferal Genus Agglutinella." Micropaleontology 36, no. 1 (1990): 86. http://dx.doi.org/10.2307/1485666.

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