Geospatial Assessment of the Consumption and Absorption of Residential and Educational Land Uses of Zaria and Sabon Gari Area of Kaduna State, Nigeria

Human variables such as population increase and distribution, as well as economic expansion, have a strong impact on land usage. Zaria and Sabon Gari local government areas are endowed with various types of institutions that attract people from far and near to its space for studies and employments. This in turn leads to increase in population growth and the expansion of residential land use (LU). Thus, this study assessed the Land Consumption Rate (LCR) and Land Absorption Coefficient (LAC) of the residential and educational LUs using geospatial technique. The study analyzed Landsat imagery of 1987, 1999, 2006, and 2018. The study utilized a combination of quantitative (pixel-based) and qualitative (digitizing) methods of image classification for classifying the residential and educational LUs and biophysical covers. Quantitative assessment of the LU dynamics was achieved by the post-classification computation of LU dynamics, LCR, and LAC. The results revealed that residential LU occupied an area of 2594.25ha in 1987, 2815.15ha in 1999, 4042.54ha in 2006, and 8033.19ha in 2018. In the same vein, the educational LU occupied area of 2623.41ha in 1987, 2991.87ha in 1999, 3021.10ha in 2006, and 3093.75ha in 2018. The LCR values for residential LU were 0.555%, 0.468%, 0.579%, and 0.803% for the years 1987, 1999, 2006, and 2018 respectively. The LCR reduced from 1987 to 1999 and then increased from 1999 to 2018. The LAC values for the residential LU increased across the period of the study. The study concluded that the exploitation of the new lands for residential and educational LUs could be as a result of the demographic and institutional drivers of LU. The study suggested that the urban planning authority should develop planning measures that will regulate the already crowded residential LU in the study area.was transformation of rocky surface and waterbody into urban area, which was caused by population growth, human and agricultural activities in Zuru metropolis.

Spatial and Temporal Mapping of COVID-19 Pandemic Using GIS Technique: A Case Study of Italy Authors M. Farhan Ul Moazzam

Coronavirus pandemic disease (COVID-19) has spread globally. Presently, there is insufficient data regarding clinical studies and its epidemiological features. However, it is comprehended that most of the COVID-19 infected patients show mild to moderate symptoms which improve without any medical assistance attributing to enhanced immune system by generating antibodies against the viral antigens. In this comparative study, the active cases, recovered cases, deaths, and total confirmed cases from January 2020 to 23rd August 2021 have been analyzed using a geospatial technique inverse distance weighting (IDW). Until latter, the total number of COVID-19 cases reported in Italy were 4,168,699 including 128,715 deceased, 3,904,429 recovered and 135,555 cases were still active carriers. Out of total cases 20.76% were reported in Lombardia region with a death rate of 26.26%. This mortality rate was found higher in comparison with rate followed by Emilia-Romagna (10.35%), Piemonte (9.10%), and Vento (9.06%). While percentage of recovery was found variable i.e. in Lombardia 20.98%, followed by Veneto 10.89%, Campania 10.88% and Emilia-Romagna 9.72%. COVID-19 evolution in Italy has majorly affected the urban area i.e., Rome, Milan, Naples, Bologna, and Florence. Geospatial technology played a vital statistical role by tracking infected patients, active cases, and the recovered cases. Thus, it is acknowledged that geospatial techniques are an important tool in statistical evaluation of disease spread and their control among populations

Assessing the Dynamics of Urban Growth and Land Use Changes in Jeli Using Geospatial Technique

Land use change pattern in Jeli is been given a focus as part of tool for land planning anddevelopment. An increasing of population in Jeli make this study is relevant to aid an understandingon land use changes in this area due to the demanded for development and rapid land utilisation.Land use change pattern can be obtained via geospatial technique by Geographical InformationSystem (GIS) together with satellite imagery analysis. In this study, land use maps produced fromsupervised classification using maximum likelihood algorithm give a high accuracy of 92.05%.From classified land use images, urban expansion index (SI) were then calculated from year 1984to 2012. Pearson’s correlation analysis discovered a strong negative correlation between forest andagricultural areas which reflected that with increased of agriculture area, forest reserve was founddepleted. The SI of Jeli showed a low to rapid growth in 1994 and 1997 to 2012 respectively. Thestudy reflected the progressive development in Jeli promotes sustainable usage of forest area wheneffort of reforestation was carried out forming a co-existence land use category between forest andagriculture.