scholarly journals Application of Geographic Information Systems to Assessing the Dynamics of Slum and Land Use Changes in Urban Core of Akure, Nigeria

2015 ◽  
Vol 8 (6) ◽  
Author(s):  
Ayo Emmanuel Olajuyigbe ◽  
Olusola Olalekan Popoola ◽  
Suleiman Abdul-Azeez Adegboyega ◽  
Tayo Obasanmi
Keyword(s):  
Land Use ◽  
Information Systems ◽  
Geographic Information Systems ◽  
Land Use Changes ◽  
Geographic Information ◽  
Urban Core

scholarly journals Pengaruh Perubahan Penggunaan Lahan Terhadap Insiden Penyakit Tuberkulosis Paru: Studi Di Provinsi Lampung

2017 ◽  
Vol 5 (1) ◽  
pp. 71
Author(s):  
Rita Rosari ◽  
Samsul Bakri ◽  
Trio Santoso ◽  
Dyah W.S.R Wardani
Keyword(s):  
Land Use ◽  
Information Systems ◽  
Geographic Information Systems ◽  
Healthy Lifestyle ◽  
Land Use Changes ◽  
Geographic Information ◽  
Forest Plantation ◽  
Community Forest ◽  
Gis Software ◽  
Density Population

Deforestation and land conversion is one of the effects of high nativity rates and urbanizationthat affect the ecological situation.  The imbalance of ecological system become a factor ofincreasing pulmunary Tuberkulosis incidence (TB).  TB is a disease of pulmunary infectionsthat caused by the bacterium Mycobacterium tuberculosis, and it is spread directly.  Thisresearch was conducted to determine the contribution of land use changes incidence of TB inthe Lampung Province.  Land use changes be resultant through landsat imegeryinterpretation utilize Geographic Information Systems (GIS) software.  Parameter usedstatistical software, used the F test on the real level of 10%.  The result showed that therewere several factors that have real influence, namely; community forest with a coefficient of 1.0314(Pvalue=0.040), Clean and Healthy Lifestyle (PHBS) coefficient of -0.3691 (Pvalue=0.042), density population coefficient of 0.011661 (Pvalue=0.008) and the percentage of poorresident coefficient of 0.6641 (Pvalue=0.006).  While forest, plantation, developed land, healthfacility and healthy house did not have significant effect toward incidence of TB in Lampung Province.Keywords : deforestation, geographic information systems(GIS), incidence of TB, land use.

scholarly journals Monitoring Land Use Changes and Their Future Prospects Using GIS and ANN-CA for Perak River Basin, Malaysia

Water ◽  
2021 ◽  
Vol 13 (16) ◽  
pp. 2286
Author(s):  
Muhammad Talha Zeshan ◽  
Muhammad Raza Ul Mustafa ◽  
Mohammed Feras Baig
Keyword(s):  
Land Use ◽  
Information Systems ◽  
Geographic Information Systems ◽  
River Basin ◽  
Land Use Changes ◽  
Geographic Information ◽  
Kappa Coefficient ◽  
Urban Land Use ◽  
Lulc Changes ◽  
The Impact

Natural landscapes have changed significantly through anthropogenic activities, particularly in areas that are severely impacted by climate change and population expansion, such as countries in Southeast Asia. It is essential for sustainable development, particularly efficient water management practices, to know about the impact of land use and land cover (LULC) changes. Geographic information systems (GIS) and remote sensing were used for monitoring land use changes, whereas artificial neural network cellular automata (ANN-CA) modeling using quantum geographic information systems (QGIS) was performed for prediction of LULC changes. This study investigated the changes in LULC in the Perak River basin for the years 2000, 2010, and 2020. The study also provides predictions of future changes for the years 2030, 2040, and 2050. Landsat satellite images were utilized to monitor the land use changes. For the classification of Landsat images, maximum-likelihood supervised classification was implemented. The broad classification defines four main classes in the study area, including (i) waterbodies, (ii) agricultural lands, (iii) barren and urban lands, and (iv) dense forests. The outcomes revealed a considerable reduction in dense forests from the year 2000 to 2020, whereas a substantial increase in barren lands (up to 547.39 km2) had occurred by the year 2020, while urban land use has seen a rapid rise. The kappa coefficient was used to assess the validity of classified images, with an overall kappa coefficient of 0.86, 0.88, and 0.91 for the years 2000, 2010, and 2020, respectively. In addition, ANN-CA simulation results predicted that barren and urban lands will expand in the future at the expense of other classes in the years 2030, 2040, and 2050. However, a considerable decrease will occur in the area of dense forests in the simulated years. The study successfully presents LULC changes and future predictions highlighting significant pattern of land use change in the Perak River basin. This information could be helpful for land use administration and future planning in the region.

The Use of Geographic Information Systems (GIS) in Land Resources Appraisal

1994 ◽  
Vol 23 (4) ◽  
pp. 249-255 ◽  
Author(s):  
W.G. Sombroek ◽  
J. Antoine
Keyword(s):  
Land Use ◽  
Developing Countries ◽  
Information Systems ◽  
Geographic Information Systems ◽  
Land Degradation ◽  
Geographic Information ◽  
Land Resource ◽  
Land Resources ◽  
Training Support ◽  
Village Communities

Nations, village communities and individual land users need to make choices about land use in order to support development without risk of land degradation. Computerized land information systems (LIS) based on geographic information systems (GIS) have emerged as powerful tools for generating maps and reports to inform such decisions. Recently, FAO has been developing GIS/LIS systems in linkage with its agroecological zoning (AEZ) and other models, and using them to tackle issues of land, food and people at global, national and subnational levels. They have been successfully developed for land resource management at different scales, but practical difficulties have been encountered in making them accessible to the casual user in most developing countries, due to scarcity of data and poor training support.

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