An Internet-Based GIS Platform Providing Data for Visualization and Spatial Analysis of Urbanization in Major Asian and African Cities

Gong, Hao; Simwanda, Matamyo; Murayama, Yuji

doi:10.3390/ijgi6080257

Cited by 22 publications

(8 citation statements)

References 45 publications

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“…The land cover features in the four cities are typical of those in rapidly urbanizing African cities with built-up lands (impervious surfaces) characterized by various land uses including commercial, industrial, public institutions and residential areas dominated by informal settlements located close to urban growth centers, especially the central business district [5,37]. Other land cover features include forests, woodlands, grasslands, croplands and water surfaces such as the sea, lakes, rivers and dams [38].…”

Section: Introductionmentioning

confidence: 99%

Spatial Analysis of Surface Urban Heat Islands in Four Rapidly Growing African Cities

et al. 2019

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Africa’s unprecedented, uncontrolled and unplanned urbanization has put many African cities under constant ecological and environmental threat. One of the critical ecological impacts of urbanization likely to adversely affect Africa’s urban dwellers is the urban heat island (UHI) effect. However, UHI studies in African cities remain uncommon. Therefore, this study attempts to examine the relationship between land surface temperature (LST) and the spatial patterns, composition and configuration of impervious surfaces/green spaces in four African cities, Lagos (Nigeria), Nairobi (Kenya), Addis Ababa (Ethiopia) and Lusaka (Zambia). Landsat OLI/TIRS data and various geospatial approaches, including urban–rural gradient, urban heat island intensity, statistics and urban landscape metrics-based techniques, were used to facilitate the analysis. The results show significantly strong correlation between mean LST and the density of impervious surface (positive) and green space (negative) along the urban–rural gradients of the four African cities. The study also found high urban heat island intensities in the urban zones close (0 to 10 km) to the city center for all cities. Generally, cities with a higher percentage of the impervious surface were warmer by 3–4 °C and vice visa. This highlights the crucial mitigating effect of green spaces. We also found significant correlations between the mean LST and urban landscape metrics (patch density, size, shape, complexity and aggregation) of impervious surfaces (positive) and green spaces (negative). The study revealed that, although most African cities have relatively larger green space to impervious surface ratio with most green spaces located beyond the urban footprint, the UHI effect is still evident. We recommend that urban planners and policy makers should consider mitigating the UHI effect by restoring the urban ecosystems in the remaining open spaces in the urban area and further incorporate strategic combinations of impervious surfaces and green spaces in future urban and landscape planning.

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Section: Introductionmentioning

confidence: 99%

Spatial Analysis of Surface Urban Heat Islands in Four Rapidly Growing African Cities

et al. 2019

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“…Hao Gong et al, (2017) described an Internetbased GIS platform termed as MEGA-WEB. The interface was designed considering the urban planning and management challenges in developing countries of Asia and Africa due to the limited availability of effective tools, and proficiency and data resources in data analysis.…”

Section: Previous Research Workmentioning

confidence: 99%

Mega–Environment Concept in Agriculture: A Review

Chowdhury¹,

Bharadwaj²,

Sehgal³

2019

Int.J.Curr.Microbiol.App.Sci

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Greater emphasis on future constraints to agricultural production is motivated by the projections of environmental change. The speed of population, change in climate and environmental has pressurized the crop community to understand the importance of those stresses which may result in the significant declines in yield. Advances in data availability, advance information technology, and new and improved methods to target genotypes to environments have benefited the crop improvement practices. No methodology is found in literature which integrates factors like climate, soil, land cover etc., and can predict the most suitable environment (Area) for growing maize based on its genetic variability. Megaenvironment can be defined as a part, which may not necessarily be contiguous, of growing region of any species of a particular crop, with homogeneous environment which encourages similar genotypes to perform best. The MEs (homogeneous environments of production delineated on the basis of an agroclimatic) are helpful to the crop breeders in managing the genotype-byenvironment interactions and then extrapolate the same within similar agro climatic areas. In this paper several research works are reviewed to provide emphasis on the Mega-Environment concept for crop improvement.

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“…The Geoweb platform enables the creation of new knowledge and applications through the mashup of user data and geospatial data. Karnatak et al (27) and Gong et al (28) proposed geospatial mashup solutions for disaster management and urban management, respectively. They provided online access, visualization, geospatial analysis, and real-time sensor data sharing services following a mashup framework of the Geoweb 2.0.…”

Section: Related Workmentioning

confidence: 99%

Dynamic Mashup Performance Comparison Using Open Application Programming Interface of Geoweb Map Platforms Available in Korea

Kim¹,

Jang²

2019

Sensors and Materials

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Recently, users have been more interested in the development of a dynamic mashup application that integrates and renders large amounts of real-time sensor data and geospatial data. However, such a dynamic mashup application has caused performance issues in large amounts of real-time sensor data integration and time series rendering. In this study, we compare and analyze the dynamic mashup performance characteristics of various types of map platform. For accurate performance comparison, we define performance comparison metrics of data loading time, mashup time, and user interaction time. We also implement a mashup prototype system composed of a Geoweb client, a sensor data server, and several map platforms in order to efficiently perform various experiments. The experimental results show the mashup performance characteristics of Google Maps, OpenStreetMap (OSM), VWorld, olleh Map, Daum Map, and Naver Map. Finally, we present which map platforms have good and stable performance in the dynamic mashup of large amounts of sensor data.

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An Internet-Based GIS Platform Providing Data for Visualization and Spatial Analysis of Urbanization in Major Asian and African Cities

Cited by 22 publications

References 45 publications

Spatial Analysis of Surface Urban Heat Islands in Four Rapidly Growing African Cities

Spatial Analysis of Surface Urban Heat Islands in Four Rapidly Growing African Cities

Mega–Environment Concept in Agriculture: A Review

Dynamic Mashup Performance Comparison Using Open Application Programming Interface of Geoweb Map Platforms Available in Korea

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