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Journal articles on the topic 'Geographic information systems – Rwanda'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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1

Sudhof, Leanna, Cheryl Amoroso, Peter Barebwanuwe, Fabien Munyaneza, Adolphe Karamaga, Giovanni Zambotti, Peter Drobac, and Lisa R. Hirschhorn. "Local use of geographic information systems to improve data utilisation and health services: mapping caesarean section coverage in rural Rwanda." Tropical Medicine & International Health 18, no. 1 (December 24, 2012): 18–26. http://dx.doi.org/10.1111/tmi.12016.

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2

Akinyemi, Felicia O. "Technology use in Rwandan secondary schools: an assessment of teachers’ attitudes towards geographic information systems (GIS)." International Research in Geographical and Environmental Education 25, no. 1 (November 5, 2015): 20–35. http://dx.doi.org/10.1080/10382046.2015.1106848.

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3

Hitimana, Jean Pierre. "Validity of using of GIS, SDI, Remote Sensing and Environmental factors for site selection of zones of coffee agriculture localization suitability modeling in Maraba sector, south province of Rwanda." Abstracts of the ICA 1 (July 15, 2019): 1. http://dx.doi.org/10.5194/ica-abs-1-113-2019.

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<p><strong>Abstract.</strong> In these last recent years farmers in the sector of Maraba in South Province of Rwanda had face challenges to keep producing good quality coffee and to be the 1st place in competition of cup of Excellence. We conducted this research in order to show how the use of Geographic Information Systems (GIS) and Spatial Data Infrastructure (SDI) models as the research method for growing and producing good quality coffee in taking into consideration environmental factors like: Elevation and temperature, Rainfall and water supply, Soil, Aspect and slopes.</p><p>The findings in this research about the selection of zones of coffee plantation and relation relationship to coffee quality will be published on Geo-Portal where maps and metadata created or collected will be available to the public and particularly to Maraba sector community.</p><p>The results of this research will be presented to Maraba sector community in a workshop so that they can gain knowledge of the land and the good quality of Maraba coffee.</p>

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4

Natarajan, Abirami, Niclas Rudolfson, Daniel O'Neil, Lauren Schleimer, Jean Marie Vianney Dusengimana, Nancy Lynn Keating, Lawrence N. Shulman, et al. "Sociodemographic factors associated with cancer treatment completion among women with breast cancer at Butaro Cancer Center of Excellence (BCCOE) in Rwanda." Journal of Clinical Oncology 38, no. 15_suppl (May 20, 2020): e19220-e19220. http://dx.doi.org/10.1200/jco.2020.38.15_suppl.e19220.

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e19220 Background: Many barriers exist to delivering comprehensive breast cancer care in low-income countries. We examined sociodemographic factors associated with treatment completion among women receiving care for breast cancer at Butaro Cancer Center of Excellence (BCCOE), Rwanda’s first public cancer facility. Methods: We retrospectively measured treatment completion rates in women with early and locally advanced breast cancer diagnosed at BCCOE between July 1, 2012 and December 31, 2016. We defined treatment completion as receipt of surgery, 4 cycles of chemotherapy, and initiation of hormonal therapy for estrogen receptor positive (ER+) breast cancer. We used logistic regression to examine associations between socio-demographic and clinical factors and treatment completion. Travel time was estimated using a geographic information systems model using the WHO tool AccessMod 5.0. Results: Of 212 eligible women, 138 (65%) had surgery and 141 (66%) received 4 cycles of chemotherapy. Among 139 women with ER+ cancer, 59% initiated hormonal therapy. Overall 56% received all indicated treatment including surgery, chemotherapy, and hormonal therapy (if ER positive); 44% did not complete indicated treatment. Women who lived closer to the hospital ( <50 minutes travel time) were more likely than other women to complete treatment (OR 4.2; 95% CI 1.1-15.1). Women with early-stage disease were also more likely than women with locally advanced disease to complete treatment (OR 2.2, 95% CI 1.1-4.4). Among 100 women with available information about ubudehe (Rwandan social categorization used as a proxy for socioeconomic status), rates of treatment completion were higher for women who were eligible for social support (ie: transportation support or insurance subsidy) than women who were not (74% v. 63%), although this difference was not statistically significant (p= 0.51). Conclusions: Significant barriers exist for breast cancer patients receiving treatment in this low resource setting; nevertheless, over half of the patients completed therapy. Interventions are needed to facilitate care for women with long travel times and locally advanced disease to reduce disparities in outcomes for this population of patients. Further research is needed to determine the role of social support in treatment completion.

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5

Bogale, Mekonnen, Muluken Ayalew, and Wubishet Mengesha. "The Competitiveness of Travel and Tourism Industry of Sub-Saharan African Countries in the World Market." African Journal of Hospitality, Tourism and Leisure 10(1), no. 10(1) (February 28, 2021): 131–44. http://dx.doi.org/10.46222/ajthl.19770720-91.

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The purpose of this study was to investigate competitiveness of Travel and Tourism industry of Sub-Saharan African countries in the world market. The study used Normalized Revealed Comparative Advantage (NRCA) and Relative Trade Advantage (RTA) indexes as a measure of competitiveness based on secondary data from ITC trade database covering between 2000 and 2019. The findings of the study revealed that SSA countries like Mauritius, South Africa, Seychelles and Namibia have competitive T&T industry consistently in the years between 2000 and 2019. However, SSA countries such as Botswana, Tanzania, Senegal, Kenya and Rwanda have competitiveness vary by years. Moreover, South Africa has highest comparative advantage followed by Tanzania and Mauritius. The study provided valuable information to industry leaders, policy makers, business owners and international organizations such as UN and UNESCO to design appropriate strategies and systems aiming to sustain and improve travel and tourism industry competitiveness in SSA countries. It is the first study in applying NRCA and RTA indexes to investigate the competitiveness of T&T Industry in SSA countries. Keywords: Competitiveness; export; import; performance; tourism; travel

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6

Cornelius, Sarah, and Tor Bernhardsen. "Geographic Information Systems." Geographical Journal 163, no. 1 (March 1997): 104. http://dx.doi.org/10.2307/3059709.

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7

Sweeney, Michael W. "Geographic Information Systems." Water Environment Research 72, no. 6 (October 1, 2001): 134–40. http://dx.doi.org/10.2175/106143000x138382.

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8

Khan, O. A. "Geographic information systems." American Journal of Public Health 89, no. 7 (July 1999): 1125. http://dx.doi.org/10.2105/ajph.89.7.1125.

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9

Sweeney, Michael W. "Geographic information systems." Water Environment Research 68, no. 4 (June 1996): 416–20. http://dx.doi.org/10.2175/106143096x135272.

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10

Sweeney, Michael W. "Geographic information systems." Water Environment Research 70, no. 4 (June 1998): 424–28. http://dx.doi.org/10.2175/106143098x134163.

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11

Sweeney, Michael W. "Geographic Information Systems." Water Environment Research 71, no. 5 (August 1999): 551–56. http://dx.doi.org/10.2175/106143099x133631.

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12

Sweeney, Michael W. "Geographic information systems." Water Environment Research 69, no. 4 (June 1997): 419–22. http://dx.doi.org/10.2175/106143097x134740.

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13

Ward, MH, JR Nuckols, SJ Weigel, SK Maxwell, KP Cantor, and RS Miller. "Geographic information systems." Annals of Epidemiology 10, no. 7 (October 2000): 477. http://dx.doi.org/10.1016/s1047-2797(00)00152-6.

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14

Brody, Roberta. "Geographic Information Systems." Journal of Business & Finance Librarianship 5, no. 1 (September 1999): 3–18. http://dx.doi.org/10.1300/j109v05n01_02.

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15

Chen, Jim X. "Geographic Information Systems." Computing in Science & Engineering 12, no. 1 (January 2010): 8–9. http://dx.doi.org/10.1109/mcse.2010.13.

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16

Zhang, Wendy, and Theresa Beaubouef. "Geographic information systems." ACM SIGCSE Bulletin 40, no. 2 (June 2008): 124–27. http://dx.doi.org/10.1145/1383602.1383650.

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17

Wikle, Thomas A. "Geographic information systems." ACM SIGCAS Computers and Society 21, no. 2-4 (November 1991): 28–32. http://dx.doi.org/10.1145/122652.122657.

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18

Wieczorek, William F., and Alan M. Delmerico. "Geographic information systems." Wiley Interdisciplinary Reviews: Computational Statistics 1, no. 2 (August 19, 2009): 167–86. http://dx.doi.org/10.1002/wics.21.

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19

Goodchild, M. F. "Geographic information systems." Progress in Human Geography 12, no. 4 (December 1988): 560–66. http://dx.doi.org/10.1177/030913258801200407.

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20

Goodchild, Michael F. "Geographic information systems." Progress in Human Geography 15, no. 2 (June 1991): 194–200. http://dx.doi.org/10.1177/030913259101500205.

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21

Felke, Thomas P. "Geographic Information Systems." Journal of Evidence-Based Social Work 3, no. 3-4 (November 20, 2006): 103–13. http://dx.doi.org/10.1300/j394v03n03_08.

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22

Dada, Maria. "Queering Geographic Information information Systems." A Peer-Reviewed Journal About 8, no. 1 (August 15, 2019): 58–68. http://dx.doi.org/10.7146/aprja.v8i1.115415.

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What’s the relationship between GIS and the political subject? In an effort to address this question, this paper traces the movement from the map to GIS. The map is shown to be the performative utterance of the state, one that supports its national discourse and narrative. GIS, on the other hand, is shown to be a device of neoliberal governmentality, its non-representational economic practices, divided discourse and subjectivities. Despite the seemingly hopeless situation surrounding GIS, however, certain simulation and modelling practices are attempting to construct subjectivities out of economic neoliberalism’s fractured narratives. They do this by reading meaning into otherwise mathematical datasets and models. These practices could form a basis for queering GIS.

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23

Zougmoré, Robert B., Peter Läderach, and Bruce M. Campbell. "Transforming Food Systems in Africa under Climate Change Pressure: Role of Climate-Smart Agriculture." Sustainability 13, no. 8 (April 13, 2021): 4305. http://dx.doi.org/10.3390/su13084305.

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Low-income producers and consumers of food in Africa are more vulnerable to climate change, owing to their comparatively limited ability to invest in more adapted institutions and technologies under increasing climatic risks. Therefore, the way we manage our food systems needs to be urgently changed if the goal is to achieve food security and sustainable development more quickly. This review paper analyzes the nexus “climate-smart agriculture-food systems-sustainable development” in order to draw sound ways that could allow rapid transformation of food systems in the context of climate change pressure. We followed an integrative review approach based on selected concrete example-experiences from ground-implemented projects across Africa (Ghana, Senegal, Mali, Burkina Faso, in West Africa, Ethiopia, Kenya, Rwanda, and Tanzania in East Africa). Mostly composed of examples from the Climate Change, Agriculture, and Food Security (CCAFS) Research Program of the CGIAR (former Consultative Group on International Agricultural Research) and its partners, these also included ground initiatives from non-CGIAR that could provide demonstrable conditions for a transformative agriculture and food systems. The lessons learnt from the ground implementation of climate-smart agriculture (CSA), in the African context, were instrumental to informing the actions areas of the food-system transformation framework suggested in this paper (reroute, de-risk, reduce, and realign). Selected CSA example-cases to inform these action areas included 24 initiatives across Africa, but with a focus on the following studies for an in-depth analysis: (1) the climate-smart village approach to generate knowledge on climate-smart agriculture (CSA) technologies and practices for their scaling, (2) the use of climate information services (CIS) to better manage climate variability and extremes, and (3) the science–policy interfacing to mainstream CSA into agricultural development policies and plans. The analysis of these examples showed that CSA can contribute driving a rapid change of food systems in Africa through: (1) the implementation of relevant climate-smart technologies and practices to reroute farming and rural livelihoods to new climate-resilient and low-emission trajectories; (2) the development and application of weather and climate information services (WCIS) that support de-risking of livelihoods, farms, and value chains in the face of increasing vagaries of weather and extreme events; (3) the use of climate-smart options that minimize waste of all the natural resources used for growing, processing, packaging, transporting, and marketing food, and therefore mitigating the carbon footprint attached to this food loss and waste; and (4) the realignment of policies and finance that facilitate action in the four proposed action areas through the identification of news ways to mobilize sustainable finance and create innovative financial mechanisms and delivery channels.

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24

Robinson, Gary J., Nancy J. Obermeyer, and Jeffrey K. Pinto. "Managing Geographic Information Systems." Geographical Journal 162, no. 1 (March 1996): 112. http://dx.doi.org/10.2307/3060275.

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25

Wieczorek, William F., and Alan M. Delmerico. "Erratum: Geographic information systems." Wiley Interdisciplinary Reviews: Computational Statistics 2, no. 5 (August 30, 2010): 635–36. http://dx.doi.org/10.1002/wics.123.

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26

Harris, Britton. "Beyond Geographic Information Systems." Journal of the American Planning Association 55, no. 1 (March 31, 1989): 85–90. http://dx.doi.org/10.1080/01944368908975408.

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27

Wallington, Edward. "Managing Geographic Information systems." Photogrammetric Record 25, no. 129 (March 2010): 85–86. http://dx.doi.org/10.1111/j.1477-9730.2009.00562_2.x.

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28

Fowler, Eric. "Exploring Geographic Information Systems." Cartographic Perspectives, no. 28 (September 1, 1997): 32–35. http://dx.doi.org/10.14714/cp28.691.

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29

Tompkins, Paige L., and Linda H. Southward. "Geographic Information Systems (GIS)." Computers in Human Services 15, no. 2-3 (January 12, 1999): 209–26. http://dx.doi.org/10.1300/j407v15n02_16.

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30

Joerger, Albert, Stephen D. DeGloria, and Malcolm A. Noden. "Applying Geographic Information Systems." Cornell Hotel and Restaurant Administration Quarterly 40, no. 4 (August 1999): 48–59. http://dx.doi.org/10.1177/001088049904000413.

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31

Popovich, V. V. "Information fusion and geographic information systems." Herald of the Russian Academy of Sciences 77, no. 4 (August 2007): 429–30. http://dx.doi.org/10.1134/s1019331607040181.

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32

Kenny, Stephen, and David Martin. "Geographic Information Systems: Socioeconomic Applications." Geographical Journal 163, no. 1 (March 1997): 104. http://dx.doi.org/10.2307/3059708.

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33

Rybaczuk, Krysia, and D. Martin. "Geographic Information Systems. Socioeconomic Applications." Geografiska Annaler. Series B, Human Geography 78, no. 3 (1996): 182. http://dx.doi.org/10.2307/490834.

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34

SHIRAYAMA, Susumu, and Tadao KOYAMA. "Map and Geographic Information Systems." Journal of the Visualization Society of Japan 23, no. 88 (2003): 2. http://dx.doi.org/10.3154/jvs.23.2.

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35

Pileggi, Salvatore, and Robert Amor. "Addressing Semantic Geographic Information Systems." Future Internet 5, no. 4 (November 26, 2013): 585–90. http://dx.doi.org/10.3390/fi5040585.

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36

Coburn, Timothy C. "Geographic information systems: an introduction." Computers & Geosciences 26, no. 7 (August 2000): 853–54. http://dx.doi.org/10.1016/s0098-3004(99)00112-0.

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37

Sadiku, Matthew N. O., Mahamadou Tembely, and Sarhan M. Musa. "Geographic Information Systems: A Primer." International Journal of Advanced Research in Computer Science and Software Engineering 7, no. 3 (March 30, 2017): 47–48. http://dx.doi.org/10.23956/ijarcsse/v7i3/01303.

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38

Muehrcke, Phillip C. "Cartography and Geographic Information Systems." Cartography and Geographic Information Systems 17, no. 1 (January 1990): 7–15. http://dx.doi.org/10.1559/152304090784005778.

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39

Lam, Nina. "Geographic Information Systems and Science." Annals of the Association of American Geographers 93, no. 1 (March 2003): 259–61. http://dx.doi.org/10.1111/1467-8306.93127.

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40

Thyne, John. "Geographic information systems in schools." New Zealand Geographer 61, no. 1 (May 27, 2005): 51–52. http://dx.doi.org/10.1111/j.1745-7939.2005.00015.x.

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41

Freeland, N. P. "Microcomputer‐based geographic information systems." Information Technology for Development 1, no. 4 (December 1986): 257–64. http://dx.doi.org/10.1080/02681102.1986.9627081.

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42

Star, Jeffrey, and John Estes. "Geographic information systems: An introduction." Geocarto International 6, no. 1 (March 1991): 46. http://dx.doi.org/10.1080/10106049109354297.

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43

Langran, Gail. "Time in geographic information systems." Geocarto International 7, no. 2 (June 1992): 40. http://dx.doi.org/10.1080/10106049209354371.

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44

Retalis, A. "Geographic information systems and science." Photogrammetric Record 20, no. 112 (December 2005): 396–97. http://dx.doi.org/10.1111/j.1477-9730.2005.00343_5.x.

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45

Krygier, J. "Visualization in Geographic Information Systems." Cartographic Perspectives, no. 20 (March 1, 1995): 50–51. http://dx.doi.org/10.14714/cp20.899.

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46

Boyd, Bruce. "Geographic information systems and P2." P2: Pollution Prevention Review 6, no. 3 (1996): 75–80. http://dx.doi.org/10.1002/(sici)1520-6815(199622)6:3<75::aid-ppr7>3.0.co;2-7.

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47

Azzam, Tarek. "Mapping Data, Geographic Information Systems." New Directions for Evaluation 2013, no. 140 (December 2013): 69–84. http://dx.doi.org/10.1002/ev.20074.

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48

Green, R. "Geographic information systems in Europe." Cartographic Journal 27, no. 1 (June 1990): 40–42. http://dx.doi.org/10.1179/caj.1990.27.1.40.

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49

Goodchild, Michael F. "Geographic information systems and cartography." Cartography 19, no. 1 (June 1990): 1–13. http://dx.doi.org/10.1080/00690805.1990.10438482.

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50

Blakemore, Michael. "Cartography and Geographic Information Systems." Progress in Human Geography 9, no. 4 (December 1985): 566–74. http://dx.doi.org/10.1177/030913258500900406.

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