Showing 4,681 - 4,700 results of 4,859 for search '"ArcGIS"', query time: 0.17s Refine Results
  1. 4681

    Geographical Accessibility to Glucose-6-Phosphate Dioxygenase Deficiency Point-of-Care Testing for Antenatal Care in Ghana by Desmond Kuupiel, Kwame M. Adu, Vitalis Bawontuo, Duncan A. Adogboba, Paul K. Drain, Mosa Moshabela, Tivani P. Mashamba-Thompson

    Published 2020-04-01
    “…We also obtained the geolocated data of all public hospitals providing G6PD deficiency testing services in the region. Using ArcGIS 10.5, we quantified geographical access to G6PD deficiency screening test and identified clinics as well as visualize locations with poor access for targeted improvement. …”
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  2. 4682

    MORFODINÂMICA ESTUARINA E VARIAÇÕES DO DELTA DE MARÉ-VAZANTE NO RIO VAZA-BARRIS, SE, BRASIL by Luana Santos Oliveira, Rosemeri Melo e Souza

    Published 2015-10-01
    “…O mapeamento e a interpolação dos dados foram realizados no programa de geoprocessamento ArcGis 10.2.1. Constatou-se que o modelo evolutivo que mais se aproxima da desembocadura do Vaza-Barris é o “Rompimento da Plataforma do Pontal” (<em>Spit Platform Breaching</em>). …”
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  3. 4683

    Distribution pattern of the snail intermediate host of schistosomiasis japonica in the Poyang Lake region of China by Fei Hu, Jun Ge, Shang-Biao Lv, Yi-Feng Li, Zhao-Jun Li, Min Yuan, Zhe Chen, Yue-Ming Liu, Yue-Sheng Li, Allen G. Ross, Dan-Dan Lin

    Published 2019-03-01
    “…Methods The marshland area surrounding Poyang Lake was divided randomly into 200 × 200 m vector grids using ArcGIS software, and the surveyed grids were randomly selected by the software. …”
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  4. 4684

    IDENTIFYING LAND USE AND LAND COVER (LULC) CHANGE FROM 2000 TO 2025 DRIVEN BY TOURISM GROWTH: A STUDY CASE IN BALI by A. B. Rimba, A. B. Rimba, A. B. Rimba, T. Atmaja, G. Mohan, G. Mohan, S. K. Chapagain, A. Arumansawang, C. Payus, C. Payus, C. Payus, K. Fukushi, K. Fukushi

    Published 2020-08-01
    “…The land change modeller (LCM) tool in ArcGIS was employed to conduct this analysis. The images were classified into agricultural land, open area, mangrove, vegetation/forest, and built-up area. …”
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  5. 4685

    Genetic diversity and genetic relatedness in Plasmodium falciparum parasite population in individuals with uncomplicated malaria based on microsatellite typing in Eastern and Weste... by Agaba B. Bosco, Karen Anderson, Karryn Gresty, Christiane Prosser, David Smith, Joaniter I. Nankabirwa, Sam Nsobya, Adoke Yeka, Rhoda Namubiru, Emmanuel Arinaitwe, Paul Mbaka, John Kissa, Chae Seung Lim, Charles Karamagi, Joan K. Nakayaga, Moses R. Kamya, Qin Cheng

    Published 2021-05-01
    “…Methods A total of 147 P. falciparum genomic DNA samples collected from cross-sectional surveys in symptomatic individuals of 2–10 years were characterized by genotyping of seven highly polymorphic neutral microsatellite markers (n = 85) and genetic sequencing of the Histidine Rich Protein 2 (pfhrp2) gene (n = 62). ArcGIS was used to map the geographical distribution of isolates while statistical testing was done using Student's t-test or Wilcoxon's rank-sum test and Fisher’s exact test as appropriate at P ≤ 0.05. …”
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  6. 4686

    Impact of land use changes on the land surface thermal environment in Nanchang, Jiangxi province, China by Yujia Zhang, Yujia Zhang, Yujia Zhang, Haisheng Cai, Haisheng Cai, Haisheng Cai, Taifeng Zhu, Taifeng Zhu, Taifeng Zhu, Xigen Guo, Xigen Guo, Xigen Guo, Jiaxi Zeng, Liang Huang

    Published 2023-11-01
    “…In the existing studies, the holistic nature of changes in land use and land cover (LULC) has been neglected in favor of focusing on the interactions between different LULC types and the land surface thermal environment. This study used ArcGIS Pro 3.0, ENVI 5.3, and SPSS software to construct a contribution index model and stepwise regression equation to investigate the relationship between LULC type, structure, and pattern changes and LSTE changes in Nanchang City, Jiangxi Province, China, from 1990 to 2020. …”
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  7. 4687

    PENGURANGAN PANJANG PERJALANAN SISWA KE SEKOLAH MELALUI RAYONISASI SEKOLAH DASAR DI KOTA SURABAYA by Ayu Tarviana Dewi, Ketut Dewi Martha Erli Handayeni

    Published 2017-01-01
    “…Tahapan pertama </em><em>adalah </em><em>mengidentifikasi rata-rata panjang perjalanan siswa sekolah dasar di Kota Surabaya dengan teknik analisis statistik deskriptif, kemudian tahapan kedua adalah menentukan pola rayonisasi melalui pembentukan kluster sekolah dasar di Kota Surabaya dengan teknik grouping analysis pada software ArcGIS.</em><em> </em><em>Tahapan </em><em>terakhir adalah </em><em>menghitung rata-rata pengurangan panjang perjalanan berdasarkan pola rayonisasi yang telah dihasilkan. …”
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  8. 4688

    Preliminary Application of Space-Based Remote Sensing and Geospatial Technology for Investigation on the Geo-Environmental Consequences of Cyclone Aila 2009 in the Bangladesh by Farhana Tazneen, Hafizur Rahman, Sajidur Rahman, Nasrin Sultana, B.M. Refat Faisal

    Published 2021-09-01
    “…Specially designed geospatial database has been established in GIS using ArcGIS operational platform. Varieties of geospatial data from diverse sources have been incorporated categorically as column-based attributes in GIS. …”
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  9. 4689

    Association between air pollution and risk of vascular dementia: A multipollutant analysis in Taiwan by Chung-Yi Li, Chien-Hsin Li, Santi Martini, Wen-Hsuan Hou

    Published 2019-12-01
    “…Exposure to the mean daily air pollutant concentration, derived from 76 fixed air quality monitoring stations, in 3, 5, and 7 years before VaD diagnosis was assessed using the spatial analysis method (i.e., ordinary kriging) on ArcGIS. A logistic regression model was used to calculate covariate-adjusted odds ratios (ORs) of VaD in relation to specific air pollutants. …”
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  10. 4690

    Forest cover affects gully expansion at the tropical watershed scale: Case study of Luzinzi in Eastern DR Congo by Géant Basimine Chuma, Jean Mubalama Mondo, Adrien Byamungu Ndeko, Yannick Mugumaarhahama, Espoir Mukengere Bagula, Mulalisi Blaise, Muhaya Valérie, Kavimba Jacques, Katcho Karume, Gustave Nachigera Mushagalusa

    Published 2021-06-01
    “…We used very high-resolution (VHR) images downloaded from Google Earth and unmanned aerial vehicles (UAV) images. ArcGIS 10.7 software helped for spatial analysis and images georeferencing while ENVI 5.3 tools were used for classification. …”
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  11. 4691

    Abnormal fasting blood glucose enhances the risk of long-term exposure to air pollution on dyslipidemia: A cross-sectional study by Lina Yan, Yaxian Pang, Zhikun Wang, Haixia Luo, Yuquan Han, Shitao Ma, Lipeng Li, Jing Yuan, Yujie Niu, Rong Zhang

    Published 2022-06-01
    “…Participants' individual exposure to air pollutants was evaluated by the Empirical Bayesian Kriging statistical model in ArcGIS10.2 geographic information system. Dyslipidemia was defined according to Guidelines for the Prevention and Treatment of Dyslipidemia in Chinese Adults. …”
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  12. 4692
  13. 4693
  14. 4694

    An Assessment of Geospatial Analysis Combined with AHP Techniques to Identify Groundwater Potential Zones in the Pudukkottai District, Tamil Nadu, India by Muruganantham Arumugam, Prabakaran Kulandaisamy, Sivakumar Karthikeyan, Kongeswaran Thangaraj, Venkatramanan Senapathi, Sang Yong Chung, Subagunasekar Muthuramalingam, Muthuramalingam Rajendran, Sathish Sugumaran, Siva Manimuthu

    Published 2023-03-01
    “…Geology, land use and land cover, geomorphology, soil, drainage density, lineament, and groundwater levels were obtained from state and non-state associations. ArcGIS version 10.8 was used to create all thematic layers and classified grids. …”
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  15. 4695

    DISTRIBUIÇÃO SAZONAL DOS SEDIMENTOS NA PRAIA DO FAROL, ILHA DO CABO FRIO, ARRAIAL DO CABO, RIO DE JANEIRO by Patrícia Quadros, João Wagner de Alencar Castro, Eliane Guedes, Victor César Ribeiro Pereira

    Published 2016-06-01
    “…O presente trabalho tem como principal objetivo a caracterização dos sedimentos de praia da Ilha do Cabo Frio sob o ponto de vista sedimentológico e sazonal, utilizando o <em>software</em> ArcGis Desktop 10.2 para facilitar a visualização dos resultados obtidos. …”
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  16. 4696
  17. 4697

    Mapeamento das áreas de preservação permanente e identificação dos conflitos de uso da terra na sub-bacia hidrográfica do Rio Camapuã/Brumado by Andrea Brandão Gonçalves, Gustavo Eduardo Marcatti, Carlos Antonio Alvares Soares Ribeiro, Vicente Paulo Soares, João Augusto Alves Meira Neto, Helio Garcia Leite, José Marinaldo Gleriani, Vanessa Mendes Lana

    Published 2012-08-01
    “…Utilizaram-se uma imagem digital do sensor ETM+/LANDSAT 7, bases cartográficas planialtimétricas do IBGE para a área de estudo, e os softwares Anudem 5.2, Erdas Imagine 9.2 e ArcGIS 9.3. As APPs ocuparam 63.095 ha, representando 57,0% da área total da sub-bacia (110.711,9 ha). …”
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  18. 4698

    ASPECTOS MORFOESTRUTURAIS DO RELEVO NA REGIÃO NORTE DA CIDADE DE MANAUS E SUAS INFLUÊNCIAS NA DINÂMICA DO AQUÍFERO ALTER DO CHÃO by João Silva Carvalho, Javier Tomasella

    Published 2014-03-01
    “…O trabalho consistiu de análises sobre produtos temáticos (mapas de drenagem, declividade e curvas de nível) gerados por processamento de imagens SRTM, por meio dos softwares ArcGis e Global Mapper, com apoio de referências geológicas, hidrogeológicas e geodésicas obtidas nos banco de dados da CPRM e IBGE, respectivamente. …”
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  19. 4699

    میزان و علل مرگ مادر باردار با استفاده از سیستم اطلاعات جغرافیایی در استان کرمانشاه (91-1380) by مهرانگیز جمشیدپور, ندا ایزدی, مریم خشیج, حبیب اله رحیمی, اکرم روستایی شیردل, کتایون جلیلی, علی خورشیدی

    Published 2015-09-01
    “…تجزیه و تحلیل داده ها با استفاده از نرم افزارهای Stata12 و Arc GIS  (نسخه 1/10) و آزمون های کای دو و رگرسیون خطی انجام شد. …”
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  20. 4700

    Комплексна характеристика району Аргентинських островів та острова Галіндез (Морська Антарктика) як полігону для вивчення динаміки наземної рослинності... by I. Parnikoza, A. Berezkina, Y. Moiseyenko, V. Malanchuk, V. Kunakh

    Published 2019-06-01
    “…В роботі ми застосували низку польових методів дослідження та картування за допомогою програми ArcGIS. Результати: показано, що всі типи рослинності поширені переважно на елементах рельєфу, які вивищуються над рівнем снігу та льоду, і, відповідно, втаюють влітку, а подекуди не вкриваються шаром снігу і взимку. …”
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