Urban growth dynamics and expansion forms in 11 Tanzanian cities from 1990 to 2020

With rapid urban expansion across Tanzania, there is a need to institute steps to address factors and forms as well as impacts and challenges associated with the observed trend. This study’s aim is to use spatial urban landscape indices to analyze the spatial changes in urban forms, patterns, and rates across 11 urban centers in Tanzania over a 30-year study period (1990–2020). During the past three decades, urban lands of 11 cities and town in Tanzania have grown by a total of 480 km2. Leapfrog growth was found as the most dominant form of urban expansion in Tanzania while Dodoma, the capital city of Tanzania, had the highest rate of urban expansion when compared to all other individual cities. The most robust and significant interaction of the AWMLEI and MLEI was found in Kigoma, Arusha, Mtwara, Mafinga, and Tunduma cities. In contrast, Mbeya agricultural city, Arusha the tourist city, Tabora, and Geita Lake zone areas did show their own peculiarities revealing an interesting spatial temporal variation in rate and form of expansion. The outcome of this study reveals that the influence and management of economic and socio-cultural opportunities will be an effective tool for the determination of the rapidly expanding cities and towns of Tanzania

Urban sprawl and its impact on sustainable urban development: a combination of remote sensing and social media data

Urbanization is one of the most impactful human activities across the world today affecting the quality of urban life and its sustainable development. Urbanization in Africa is occurring at an unprecedented rate and it threatens the attainment of Sustainable Development Goals (SDGs). Urban sprawl has resulted in unsustainable urban development patterns from social, environmental, and economic perspectives. This study is among the first examples of research in Africa to combine remote sensing data with social media data to determine urban sprawl from 2011 to 2017 in Morogoro urban municipality, Tanzania. Random Forest (RF) method was applied to accomplish imagery classification and location-based social media (Twitter usage) data were obtained through a Twitter Application Programming Interface (API). Morogoro urban municipality was classified into built-up, vegetation, agriculture, and water land cover classes while the classification results were validated by the generation of 480 random points. Using the Kernel function, the study measured the location of Twitter users within a 1 km buffer from the center of the city. The results indicate that, expansion of the city (built-up land use), which is primarily driven by population expansion, has negative impacts on ecosystem services because pristine grasslands and forests which provide essential ecosystem services such as carbon sequestration and support for biodiversity have been replaced by built-up land cover. In addition, social media usage data suggest that there is the concentration of Twitter usage within the city center while Twitter usage declines away from the city center with significant spatial and numerical increase in Twitter usage in the study area. The outcome of the study suggests that the combination of remote sensing, social sensing, and population data were useful as a proxy/inference for interpreting urban sprawl and status of access to urban services and infrastructure in Morogoro, and Africa city where data for urban planning is often unavailable, inaccurate, or stale

A Comparison Between Inter-Asterisk eXchange Protocol and Jingle Protocol: Session Time

Over the last few years, many multimedia conferencing and Voice over Internet Protocol (VoIP) applications have been developed due to the use of signaling protocols in providing video, audio and text chatting services between at least two participants. This paper compares between two widely common signaling protocols: InterAsterisk eXchange Protocol (IAX) and the extension of the eXtensible Messaging and Presence Protocol (Jingle) in terms of delay time during call setup, call teardown, and media sessions

Analysis of geospatial data of Morogoro Urban: lessons for educationists and researchers

Conference Proceedings: The 1 st International Conference on Innovative Education and Policy Reforms for Industrial Economy in Africa, pg 630-649There has been a growing need of scientists to utilize geospatial data in a variety of fields of study due to the advancement of ICT as a tool for both gathering and analyzing geospatial data. As Geographic Information System (GIS) gains momentum, the use of geospatial data becomes prominent in education especially in subjects that deal with place and space processes such as geography. Unfortunately in developing countries propagation of GIS in education is of low pace partly because of less utilization of ICT and ICT based technologies in teaching and learning. In order to address the problem of underutilization of geospatial data in education teachers‘ knowledge, skills and motivation for using GIS data needs to be reinforced. This paper shows why the use of geospatial data in geography is necessary. It shows how teachers and students in schools can be both supported and motivated to use geospatial data with reference to analysis of information based on satellite images of Morogoro urban district. The paper shows the way these geospatial data can be used to address various questions raised for each topic in geography at advanced level secondary school. The discussion part shades light on the path that needs to be followed by policy makers to mobilize efforts of educationists and other experts in geography, mathematics, statistics and ICT based disciplines. The efforts should focus on gathering and analyzing more of GIS data and also simplify their accessibility by classroom teachers so that they can improve their classroom practice and outdoor learning avenues. The foreseen challenges and the role of individual stakeholders to advance the uses of GIS data in education are also highlighted

On the development of climate data visualization tool for interpretation of empirical results from climate model: Does it add value to different stakeholders?

Proceedings and reports of the 6th Ubuntu Net Alliance annual conference, 2013, pp 223-235In time of climate change there is a lot of interest in communicating detailed information and knowledge pertaining to climate to different stakeholders. In order to aid informed decision making related to changing climate and weather variability there is need for data visualization tool. Data visualization tool plays a great role in interpreting bulk climate information produced or collected from different districts, regions and nations at large. In Tanzania, online real-time data visualization tool can help to bridge the gap in the current system whereby climate information is disseminated using television, radio as well as face-to face. These methods have many problems, one being difficulty for end user to aggregate the disseminated climate information over long period of time. This paper seeks to present a work toward developing of a tool for such purpose. The work was done by Database for Crop Models Simulation team from Tanzania with consultation of team members from Kenya, Uganda and Ethiopia. It is anticipated that the tool will enhance efficiency and effectiveness in dissemination and communication of climate information and knowledge to all actors who need it. Furthermore, the results from this study will simulate the debate about climate data visualization in this er

Challenges and opportunities for the advancement of GIS education in Tanzania

Journal of Education and Practice 2017, Vol. 8(28)Rapid developments in science and technology have driven utilization of Geographical Information Science (GIS) in various fields of Planning, Management, and exploitation of environmental resources and provision of social services. As information technology gains momentum, GIS uses information science infrastructure to address the problems of geography, cartography, geosciences locations and related branches of science and engineering; that is shortly referred to as Geo-informatics. Increased application of GIS calls for more demand of advanced Geoinformatics education worldwide. This study has established major challenges for the advancement of Geoinformatics education in Tanzania and any possible opportunities which can be utilized for the improvement of the same. Prominent challenges identified could be associated with lack of reliable power, internet connection, computer system and accessories and appropriate software. Other challenges were related to the nature of the school curriculum and insufficient knowledge and skills of the human resources. Opportunities identified involve available government plans for increasing power supply, increasing mobile phones networks, Tanzania ICT and education and training policy with a major aim of improving ICT education and the competency based school curriculum under implementation. But the government should further support directly or indirectly all efforts by various groups that participate in advancing Geo-informatics education in the country

URBAN EXPANSION: A GEO-SPATIAL APPROACH FOR TEMPORAL MONITORING OF LOSS OF AGRICULTURAL LAND

This paper presents some preliminary results from research on monitoring the urban growth of Shenzhen in China. Agriculture is still the pillar of national economies in many countries including China. Thus, agriculture contributes to population growth. Population growth follows either exponential or logistic growth models. These models can be examined using a time-series of geospatial data, mainly historical earth observation imagery from satellites such as LANDSAT. Such multitemporal data may provide insights into settlement analysis as well as on population dynamics and hence, quantify the loss of agricultural land. In this study, LANDSAT data of ten dates, at approximately five yearly intervals from 1977 to 2017 were used. The remote sensing techniques used for analysis of data for 40 years were image selection, then followed by geometric and radiometric corrections and mosaicking. Also, classification, remote sensing image fusion, and change detection methods were used. This research extracted the information on the amount, direction, and speed of urbanization, and hence, the number of hectares of agricultural land lost due to urban expansion. Several specific elements were used in the descriptive model of landscape changes and population dynamics of the city of Shenzhen in China. These elements are: i) quantify the urban changes, from a small town (37.000 people in the early 1970’s) to the megalopolis of around 20 million habitants today. ii) Examining the rate of urban extension on the loss of agricultural landscape and population growth. iii) The loss of food production was analysed against the economic growth in the region. iv) The aspects of loss of agricultural land, area of built-up urban land, and increase in population are studied quantitatively, by the temporal analysis of earth observation geospatial data. The experimental results from this study show that the proposed method is effective in determining loss of agricultural land in any city due to urbanization. It can be used by town planner and other stakeholders such as land surveyors and agriculture experts to mitigate the mushrooming of unplanned settlements in many town / villages and loss of land for agriculture which might cause problems in food security