Agricultural contributions to the economies of developing countries, including Nigeria, have been declining. This paper proposes leveraging Web-GIS and artificial intelligence (AI) to rejuvenate agriculture in these regions. It aims to dissect the components of Web GIS, examine spatial data capture methods, delve into AI for image processing, and develop revenue-generating strategies to boost Nigeria’s agricultural sector. Despite substantial capital investment, agricultural outputs remain below expectations, primarily due to informational gaps regarding land use, planting techniques, and storage. The bureaucratic management of public agricultural sectors further delays disseminating research findings to farmers. Adopting Web-GIS and AI offers a modern solution to these challenges, facilitating real-time analysis and communication of vital information related to soil conditions, farmer challenges, and broader socio-economic and environmental concerns. This approach promises to elevate agricultural practices by integrating technologies like the Internet of Things, GIS, and extensive data-sharing capabilities across the web. The paper emphasizes the potential of ubiquitous smartphone use and widespread internet connectivity to transform agricultural information dissemination. It advocates for leveraging the digital infrastructure of smart cities to enhance access to agricultural data, ultimately improving farming practices across Nigeria. The fusion of Web-GIS and AI with existing telecommunications networks presents a viable path forward, enabling farmers to make informed decisions, improve productivity, and contribute more significantly to the national economy.
{"title":"Web-Gis and Artificial Intelligence A Panacean for Agriculture Advancement in Developing Countries - A Review","authors":"Ijaware Victor Ayodele","doi":"10.54536/ajgt.v3i1.2769","DOIUrl":"https://doi.org/10.54536/ajgt.v3i1.2769","url":null,"abstract":"Agricultural contributions to the economies of developing countries, including Nigeria, have been declining. This paper proposes leveraging Web-GIS and artificial intelligence (AI) to rejuvenate agriculture in these regions. It aims to dissect the components of Web GIS, examine spatial data capture methods, delve into AI for image processing, and develop revenue-generating strategies to boost Nigeria’s agricultural sector. Despite substantial capital investment, agricultural outputs remain below expectations, primarily due to informational gaps regarding land use, planting techniques, and storage. The bureaucratic management of public agricultural sectors further delays disseminating research findings to farmers. Adopting Web-GIS and AI offers a modern solution to these challenges, facilitating real-time analysis and communication of vital information related to soil conditions, farmer challenges, and broader socio-economic and environmental concerns. This approach promises to elevate agricultural practices by integrating technologies like the Internet of Things, GIS, and extensive data-sharing capabilities across the web. The paper emphasizes the potential of ubiquitous smartphone use and widespread internet connectivity to transform agricultural information dissemination. It advocates for leveraging the digital infrastructure of smart cities to enhance access to agricultural data, ultimately improving farming practices across Nigeria. The fusion of Web-GIS and AI with existing telecommunications networks presents a viable path forward, enabling farmers to make informed decisions, improve productivity, and contribute more significantly to the national economy.","PeriodicalId":410457,"journal":{"name":"American Journal of Geospatial Technology","volume":"2 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141268006","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This paper analysed the development of a steady-state harmonic model which, along the vertical axis, can simulate a single buoy’s motion with one degree of freedom (heave). The model can optimise a buoy’s geometric and control parameters to maximise power absorption from incident waves. The steady-state model revealed that at resonance, maximum power absorption of the buoy occurred in two region values with either low or high range of values of radiation damping coefficient (c2). In practice, achieving operation in the low c2 region is difficult. Therefore, it is recommended that the devices be designed to operate in the high c2 region to increase power capture. The model also revealed the best value for c1 (PTO damping coefficient) when the buoy with the peak frequency of the sea state is at resonance, and its mass is optimum. The PTO device size can therefore be manufactured accordingly to maximise power absorption. Out of all the tested buoy shapes (spike, bullet, and bi-cone), the bi-cone (60o/120o) buoy performed the best, and its response was most similar to the optimum mass response predicted by the model.
{"title":"Steady-State Harmonic and Time Domain Point Absorber Modelling","authors":"Saad Al-Sahlawi, Garvey Seamus, Kathy Johnson","doi":"10.54536/ajgt.v3i1.2882","DOIUrl":"https://doi.org/10.54536/ajgt.v3i1.2882","url":null,"abstract":"This paper analysed the development of a steady-state harmonic model which, along the vertical axis, can simulate a single buoy’s motion with one degree of freedom (heave). The model can optimise a buoy’s geometric and control parameters to maximise power absorption from incident waves. The steady-state model revealed that at resonance, maximum power absorption of the buoy occurred in two region values with either low or high range of values of radiation damping coefficient (c2). In practice, achieving operation in the low c2 region is difficult. Therefore, it is recommended that the devices be designed to operate in the high c2 region to increase power capture. The model also revealed the best value for c1 (PTO damping coefficient) when the buoy with the peak frequency of the sea state is at resonance, and its mass is optimum. The PTO device size can therefore be manufactured accordingly to maximise power absorption. Out of all the tested buoy shapes (spike, bullet, and bi-cone), the bi-cone (60o/120o) buoy performed the best, and its response was most similar to the optimum mass response predicted by the model.","PeriodicalId":410457,"journal":{"name":"American Journal of Geospatial Technology","volume":"132 45","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141281701","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ikara Local Government Area of Kaduna State, Nigeria has rich and diverse archaeological heritage. The research employed geospatial technologies, including Geographic Information Systems (GIS) and remote sensing, to analyze and document the archaeological sites in Ikara. The research aims to assess the Geospatial distribution of Archaeological sites in the study area by mapping to locate the Archaeological sites in the study area, determine the pattern of distribution of the Archaeological sites and examine the finds and features in the sites. The research employed a mixed-method approach that combines field surveys, archival research, and geospatial analysis. The research findings show fifteen (15) archaeological sites dispersedly distributed across the Eight (8) wards in the study area with Ikara ward having the highest number of archaeological sites. Also, the dominant cultural materials across the sites are finds in forms of potsherds and features in form of House foundation. The cultural remains on the Archaeological sites are House foundations, mounds, granary, potsherds, iron slag, open grave, stone tools and grinding stones. Based on the findings, dispersed pattern of the Archaeological sites in the study area was deduced from the data collected especially at the southern part of the area of study where the sites are found to be most concentrated. Base on the research findings, it is recommended that further research shall be undertaken using GIS and Remote Sensing Technology for effective Archaeological site discovery, management and preservation.
{"title":"Geospatial Analysis of Archaeological Sites in Ikara Local Government Area of Kaduna State, Nigeria","authors":"Qasim Abubakar Ahmad, Nafiu Garba Umar","doi":"10.54536/ajgt.v3i1.2447","DOIUrl":"https://doi.org/10.54536/ajgt.v3i1.2447","url":null,"abstract":"Ikara Local Government Area of Kaduna State, Nigeria has rich and diverse archaeological heritage. The research employed geospatial technologies, including Geographic Information Systems (GIS) and remote sensing, to analyze and document the archaeological sites in Ikara. The research aims to assess the Geospatial distribution of Archaeological sites in the study area by mapping to locate the Archaeological sites in the study area, determine the pattern of distribution of the Archaeological sites and examine the finds and features in the sites. The research employed a mixed-method approach that combines field surveys, archival research, and geospatial analysis. The research findings show fifteen (15) archaeological sites dispersedly distributed across the Eight (8) wards in the study area with Ikara ward having the highest number of archaeological sites. Also, the dominant cultural materials across the sites are finds in forms of potsherds and features in form of House foundation. The cultural remains on the Archaeological sites are House foundations, mounds, granary, potsherds, iron slag, open grave, stone tools and grinding stones. Based on the findings, dispersed pattern of the Archaeological sites in the study area was deduced from the data collected especially at the southern part of the area of study where the sites are found to be most concentrated. Base on the research findings, it is recommended that further research shall be undertaken using GIS and Remote Sensing Technology for effective Archaeological site discovery, management and preservation.","PeriodicalId":410457,"journal":{"name":"American Journal of Geospatial Technology","volume":"2003 14","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140718645","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Godspower Oke Omokaro, Kolawole Agoro Abiola, Anthonia Bakare, E. Airueghian, Ikioukenigha Michael
The experiment was conducted at University of Benin, Nigeria, involving soil samples from four toposequence sites (Crest, Middle, Lower, and Bottom) at different depths (0-15 cm, 15-30 cm, and 30-45 cm). A total of 36 samples were collected and analyzed for various parameters using standard procedures. The parameters included particle size distribution, pH, total organic carbon (TOC), total nitrogen (N), available phosphorus (P), Carbon (C), Hydrogen (H), Magnesium (Mg), Potassium (K), Sodium (Na), ECEC, and Aluminum (Al). Results indicated that pH was lowest in the Crest area (pH 4.10 at 30-45 cm depth) and highest in the Bottom area (pH 5.80 at 0-15 cm to 30-45 cm depth). Different soil properties showed varying highest values across the toposequence depths. These properties included Total organic C, Total N, Available P, Ca, K, Mg, H, Na, ECEC, sand content, and the various forms of phosphorus. The correlation table revealed significant positive and negative relationships between different forms of phosphorus and various soil physical and chemical properties. The experiment demonstrated distinct variations in soil properties along the toposequence sites and depths. The findings contribute to a better understanding of soil characteristics in the studied region, aiding in informed agricultural practices and land management decisions.
{"title":"Forms and Distribution of Phosphorus along A Toposequence at the University of Benin, Nigeria","authors":"Godspower Oke Omokaro, Kolawole Agoro Abiola, Anthonia Bakare, E. Airueghian, Ikioukenigha Michael","doi":"10.54536/ajgt.v3i1.2591","DOIUrl":"https://doi.org/10.54536/ajgt.v3i1.2591","url":null,"abstract":"The experiment was conducted at University of Benin, Nigeria, involving soil samples from four toposequence sites (Crest, Middle, Lower, and Bottom) at different depths (0-15 cm, 15-30 cm, and 30-45 cm). A total of 36 samples were collected and analyzed for various parameters using standard procedures. The parameters included particle size distribution, pH, total organic carbon (TOC), total nitrogen (N), available phosphorus (P), Carbon (C), Hydrogen (H), Magnesium (Mg), Potassium (K), Sodium (Na), ECEC, and Aluminum (Al). Results indicated that pH was lowest in the Crest area (pH 4.10 at 30-45 cm depth) and highest in the Bottom area (pH 5.80 at 0-15 cm to 30-45 cm depth). Different soil properties showed varying highest values across the toposequence depths. These properties included Total organic C, Total N, Available P, Ca, K, Mg, H, Na, ECEC, sand content, and the various forms of phosphorus. The correlation table revealed significant positive and negative relationships between different forms of phosphorus and various soil physical and chemical properties. The experiment demonstrated distinct variations in soil properties along the toposequence sites and depths. The findings contribute to a better understanding of soil characteristics in the studied region, aiding in informed agricultural practices and land management decisions.","PeriodicalId":410457,"journal":{"name":"American Journal of Geospatial Technology","volume":"241 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140752615","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The increase in human population over the years has accelerated growth in anthropogenic activities, which have led to the conversion of forest reserves to other land uses. In the sequel, it has become imperative for researchers to focus on the mapping of forest reserves through the use of GIS and Artificial Intelligence (AI) with time-efficient, automated, and low-cost methods to preserve the existing forest reserve and its sustainability evaluation implementation. This research aimed at utilizing GIS and artificial intelligence applications in smart forest ecosystem sustainability evaluation of Olokemeji forest reserve, Ogun State, with the following objectives: (i.) assessment of the current state of the forest ecosystem.(ii.) identify potential threats and risks to the study area and (iii.) develop sustainable management strategies for its conservation and preservation. In pursuance of this, GIS and AI were deployed in this study to assess the spatial characteristics of the forest ecosystem in Olokemeji forest reserve. Landsat imagery, ground coordinates, and a research questionnaire were the major data used. Object-based classification, Normalized Difference Vegetation Index (NDVI), and Land Use Land Cover in ArcGIS 10.2 software was deployed in data generation and analysis. The results showed that in 2013, about 1657.115 ha of the study area was occupied by dense forest cover while in 2023, it decreased to 1188.060 ha, with a difference of about 469.055 ha. By implementing smart forest monitoring and evaluation systems that use artificial intelligence, the government and commercial groups should set regulations focused on reducing the escalating risks to forest reserves.
{"title":"GIS and Artificial Intelligence Application in Smart Forest Ecosystem Sustainability Evaluation of Olokemeji Forest Reserve, Ogun State, Nigeria","authors":"V. A. Ijaware","doi":"10.54536/ajgt.v3i1.2621","DOIUrl":"https://doi.org/10.54536/ajgt.v3i1.2621","url":null,"abstract":"The increase in human population over the years has accelerated growth in anthropogenic activities, which have led to the conversion of forest reserves to other land uses. In the sequel, it has become imperative for researchers to focus on the mapping of forest reserves through the use of GIS and Artificial Intelligence (AI) with time-efficient, automated, and low-cost methods to preserve the existing forest reserve and its sustainability evaluation implementation. This research aimed at utilizing GIS and artificial intelligence applications in smart forest ecosystem sustainability evaluation of Olokemeji forest reserve, Ogun State, with the following objectives: (i.) assessment of the current state of the forest ecosystem.(ii.) identify potential threats and risks to the study area and (iii.) develop sustainable management strategies for its conservation and preservation. In pursuance of this, GIS and AI were deployed in this study to assess the spatial characteristics of the forest ecosystem in Olokemeji forest reserve. Landsat imagery, ground coordinates, and a research questionnaire were the major data used. Object-based classification, Normalized Difference Vegetation Index (NDVI), and Land Use Land Cover in ArcGIS 10.2 software was deployed in data generation and analysis. The results showed that in 2013, about 1657.115 ha of the study area was occupied by dense forest cover while in 2023, it decreased to 1188.060 ha, with a difference of about 469.055 ha. By implementing smart forest monitoring and evaluation systems that use artificial intelligence, the government and commercial groups should set regulations focused on reducing the escalating risks to forest reserves.","PeriodicalId":410457,"journal":{"name":"American Journal of Geospatial Technology","volume":"49 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140755413","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
S. K. Aroge, Adewole Babatunde Emmanuel, Amoo Nureni Babatunde, Adeleke Jacob Sola
This study reveals the necessity of offering a solution to the Primary Health Care (PHC) facility site location issue in the healthcare industry. PHC is a crucial component of healthcare that serves as the first point of contact for individuals, families, and communities. It allows for the delivery of care as close as possible to people’s homes and places of employment, but over time, a solution to this sector’s location issues has been neglected. The purpose of this study is to locate the optimum locations in the study area for new PHC facilities. After careful evaluation of various literature, oversight organizations, and local government officials, the raw data needed were obtained. The effectiveness of a Geographical Information System (GIS), Multi-Criteria Decision Analysis (MCDA), and the Analytical Hierarchy Process (AHP) were integrated to provide a novel method for choosing acceptable locations for PHC facilities in the Ado Local Government Area. The specified criteria layers were overlaid using a weighted linear combination (WLC) approach, such as Map algebra. The results showed that within the land mass of the research region; only 10% were deemed to be the most suitable areas, while 53% of the places were suitable, and 37% of the areas were unsuitable. As a result, the study suggests that the integration of GIS, AHP, and MCDA methods is beneficial in addressing the issue of site appropriateness assessments for PHC facilities.
{"title":"Combination of GIS, MCDA and AHP for the Selection of Most Suitable Location for Primary Health Care Facilities","authors":"S. K. Aroge, Adewole Babatunde Emmanuel, Amoo Nureni Babatunde, Adeleke Jacob Sola","doi":"10.54536/ajgt.v2i1.1820","DOIUrl":"https://doi.org/10.54536/ajgt.v2i1.1820","url":null,"abstract":"This study reveals the necessity of offering a solution to the Primary Health Care (PHC) facility site location issue in the healthcare industry. PHC is a crucial component of healthcare that serves as the first point of contact for individuals, families, and communities. It allows for the delivery of care as close as possible to people’s homes and places of employment, but over time, a solution to this sector’s location issues has been neglected. The purpose of this study is to locate the optimum locations in the study area for new PHC facilities. After careful evaluation of various literature, oversight organizations, and local government officials, the raw data needed were obtained. The effectiveness of a Geographical Information System (GIS), Multi-Criteria Decision Analysis (MCDA), and the Analytical Hierarchy Process (AHP) were integrated to provide a novel method for choosing acceptable locations for PHC facilities in the Ado Local Government Area. The specified criteria layers were overlaid using a weighted linear combination (WLC) approach, such as Map algebra. The results showed that within the land mass of the research region; only 10% were deemed to be the most suitable areas, while 53% of the places were suitable, and 37% of the areas were unsuitable. As a result, the study suggests that the integration of GIS, AHP, and MCDA methods is beneficial in addressing the issue of site appropriateness assessments for PHC facilities.","PeriodicalId":410457,"journal":{"name":"American Journal of Geospatial Technology","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134007289","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
M. R. Ramana Murty, Ch Ravi Kumar, K. Srinivasu, R. Kannan, B. Sundar
The coastal zone is highly dynamic, which responds in various ways to human interventions and extreme weather events. Tropical storms cause enormous damage to the coastal region and its communities during landfall. Many of the world’s largest deltas are densely populated and are increasingly vulnerable to natural disasters. The Krishna district within the river delta, is amongst the few districts with very high proneness to cyclone hazards. Machilipatnam in Krishna district is one of the oldest coastal towns in Andhra Pradesh, situated on a series of ancient beach ridges. Two major storms struck this region in the last half-century causing large scale devastation. The extent of inundation from multiple flood events can be a very good indicator for flood hazard zonation. The lateral expansion of Machilipatnam town is analysed in GIS environment based on time series satellite data. The developmental activities in the near shore zone are modifying the pristine coastline configuration. This is evident from shoreline monitoring. It is observed that there is a net increase in the extent of mangroves, indicating a better protection to the town against tropical storms. The unplanned growth of aquaculture may be an amplifying factor for coastal flooding, particularly if it is interfering with the drainage system. In addition to the existing flood protection measures, the areas suitable for shelter belt plantation and mangrove regeneration are identified for coastal vulnerability reduction.
{"title":"Monitoring of Coastal Geo-Environment for Hazard Mitigation: A Case Study of Machilipatnam Region, Andhra Pradesh, India","authors":"M. R. Ramana Murty, Ch Ravi Kumar, K. Srinivasu, R. Kannan, B. Sundar","doi":"10.54536/ajgt.v1i2.1381","DOIUrl":"https://doi.org/10.54536/ajgt.v1i2.1381","url":null,"abstract":"The coastal zone is highly dynamic, which responds in various ways to human interventions and extreme weather events. Tropical storms cause enormous damage to the coastal region and its communities during landfall. Many of the world’s largest deltas are densely populated and are increasingly vulnerable to natural disasters. The Krishna district within the river delta, is amongst the few districts with very high proneness to cyclone hazards. Machilipatnam in Krishna district is one of the oldest coastal towns in Andhra Pradesh, situated on a series of ancient beach ridges. Two major storms struck this region in the last half-century causing large scale devastation. The extent of inundation from multiple flood events can be a very good indicator for flood hazard zonation. The lateral expansion of Machilipatnam town is analysed in GIS environment based on time series satellite data. The developmental activities in the near shore zone are modifying the pristine coastline configuration. This is evident from shoreline monitoring. It is observed that there is a net increase in the extent of mangroves, indicating a better protection to the town against tropical storms. The unplanned growth of aquaculture may be an amplifying factor for coastal flooding, particularly if it is interfering with the drainage system. In addition to the existing flood protection measures, the areas suitable for shelter belt plantation and mangrove regeneration are identified for coastal vulnerability reduction.","PeriodicalId":410457,"journal":{"name":"American Journal of Geospatial Technology","volume":"206 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131949505","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Victor Fredrick, M. A. Modibbo, Kamorudeen Folorunso Aleem
The dynamics of crime and its nature expose the State to the security threat. The types of criminal activities perpetrated within the communities, including armed robbery, kidnapping, and car and motorcycle snatching, are rapidly increasing. These crimes have” threatened security in Bauchi Local Government and hence the need to check by providing relevant information using modern technology. The geospatial technique combined with the Key Informant Interview approach was adopted to evaluate the intensity of insecurity in Bauchi LGA; from the data collected and analysed, it was established that criminal activities are increasing in various areas leading to the rapid increase in crime hotspots. As a result, the security agency needs to improve the nature of its functionality in combating crimes. Despite the fact that 70.35% of the security agency outpost are functional while 29.62% of the Outpost are non-functional, the security agency recorded 1081 crimes in 2020, which increased to 1142 crimes in 2021 and 1640 in 2022. Also, looking at the 645,000-population density of Bauchi LGA and the ratio of security personnel to individuals of 1:3581, which need to meet the United Nations standard of a ratio of 1:450. Given this, it was recommended that the State create job opportunities and skill acquisition training for unemployed youth roaming the streets. The security agency needs to develop a new strategy for combatting the security threat using geospatial technology and frequent production of security threat maps and their mitigation.
{"title":"Combating the Threat of Crime in the Security of the Bauchi Local Government Area Using Geospatial Technology","authors":"Victor Fredrick, M. A. Modibbo, Kamorudeen Folorunso Aleem","doi":"10.54536/ajgt.v2i1.1438","DOIUrl":"https://doi.org/10.54536/ajgt.v2i1.1438","url":null,"abstract":"The dynamics of crime and its nature expose the State to the security threat. The types of criminal activities perpetrated within the communities, including armed robbery, kidnapping, and car and motorcycle snatching, are rapidly increasing. These crimes have” threatened security in Bauchi Local Government and hence the need to check by providing relevant information using modern technology. The geospatial technique combined with the Key Informant Interview approach was adopted to evaluate the intensity of insecurity in Bauchi LGA; from the data collected and analysed, it was established that criminal activities are increasing in various areas leading to the rapid increase in crime hotspots. As a result, the security agency needs to improve the nature of its functionality in combating crimes. Despite the fact that 70.35% of the security agency outpost are functional while 29.62% of the Outpost are non-functional, the security agency recorded 1081 crimes in 2020, which increased to 1142 crimes in 2021 and 1640 in 2022. Also, looking at the 645,000-population density of Bauchi LGA and the ratio of security personnel to individuals of 1:3581, which need to meet the United Nations standard of a ratio of 1:450. Given this, it was recommended that the State create job opportunities and skill acquisition training for unemployed youth roaming the streets. The security agency needs to develop a new strategy for combatting the security threat using geospatial technology and frequent production of security threat maps and their mitigation.","PeriodicalId":410457,"journal":{"name":"American Journal of Geospatial Technology","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124404948","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Naomi A. Bajao, Gennylou P Nuñez, Shaina Mae M Bontia, Kevin Vincent C Montecillo
As the world kicks back from the aftermath of the COVID-19 pandemic, educational institutions have thus embraced the significant contribution of digitization in their day-to-day operations. As a university, Cebu Technological University Tuburan Campus had also implemented hybrid transactions, providing digital measures to most of its processes including delivery of instructions, students information systems as well as biometric daily time record. This project was developed to provide a database for faculty profile which is responsive to the professional growth of faculty members in order to provide ready reference where needed like organizational changes, among others. The system was built using PHP, HTML, CSS, Bootstrap, JavaScript, and MySQL. Upon testing, the web-based faculty development management system was able to accept faculty registration, handle profile enhancement by individual faculty users as well as output reports according to pre-specified keyword such as subjects handled, designations, academic rank and educational background. Further improvements of the system were also noted like research expertise matching for the purposes of peer reviews and references for consultancy and expert opinions.
{"title":"Web-based Faculty Development Management System","authors":"Naomi A. Bajao, Gennylou P Nuñez, Shaina Mae M Bontia, Kevin Vincent C Montecillo","doi":"10.54536/ajgt.v2i1.1425","DOIUrl":"https://doi.org/10.54536/ajgt.v2i1.1425","url":null,"abstract":"As the world kicks back from the aftermath of the COVID-19 pandemic, educational institutions have thus embraced the significant contribution of digitization in their day-to-day operations. As a university, Cebu Technological University Tuburan Campus had also implemented hybrid transactions, providing digital measures to most of its processes including delivery of instructions, students information systems as well as biometric daily time record. This project was developed to provide a database for faculty profile which is responsive to the professional growth of faculty members in order to provide ready reference where needed like organizational changes, among others. The system was built using PHP, HTML, CSS, Bootstrap, JavaScript, and MySQL. Upon testing, the web-based faculty development management system was able to accept faculty registration, handle profile enhancement by individual faculty users as well as output reports according to pre-specified keyword such as subjects handled, designations, academic rank and educational background. Further improvements of the system were also noted like research expertise matching for the purposes of peer reviews and references for consultancy and expert opinions.","PeriodicalId":410457,"journal":{"name":"American Journal of Geospatial Technology","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126537686","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
T. Afroz, M. G. Miah, H. M. Abdullah, Md. Rafiqul Islam, Md. Mizanur Rahman
Monitoring changes in land use and land cover (LULC) is essential for determining the state of the environment. This study is an attempt to assessing changes in LULC patterns and forest cover at northern region (Dinajpur district) of Bangladesh for the periods 1989–1999, 1999–2010, 2010–2020 and 1989-2020. Landsat satellite images were applied and supervised classification was done. There is a noticeable change found in LULC classes (Built-up, crop/fallow, forest, homestead and water). The built-up and homestead increased by 210.36% and 134.71%; whereas the crop/fallow, forest, and water decreased by 12.27%, 74.99% and 39.77%, respectively between 1989 to 2020. Forest was narrowed as majority of forest land transferred to homestead (8089.02ha) and crop/fallow (5965.74ha) land in last three decades (1989-2020). The findings of the study help in important policy implications for the sustainable LULC management in Dinajpur region of Bangladesh.
{"title":"Monitoring of LULC Changes and Forest Loss Using Geospatial Technique: A Case Study from Northern Region of Bangladesh","authors":"T. Afroz, M. G. Miah, H. M. Abdullah, Md. Rafiqul Islam, Md. Mizanur Rahman","doi":"10.54536/ajgt.v1i2.907","DOIUrl":"https://doi.org/10.54536/ajgt.v1i2.907","url":null,"abstract":"Monitoring changes in land use and land cover (LULC) is essential for determining the state of the environment. This study is an attempt to assessing changes in LULC patterns and forest cover at northern region (Dinajpur district) of Bangladesh for the periods 1989–1999, 1999–2010, 2010–2020 and 1989-2020. Landsat satellite images were applied and supervised classification was done. There is a noticeable change found in LULC classes (Built-up, crop/fallow, forest, homestead and water). The built-up and homestead increased by 210.36% and 134.71%; whereas the crop/fallow, forest, and water decreased by 12.27%, 74.99% and 39.77%, respectively between 1989 to 2020. Forest was narrowed as majority of forest land transferred to homestead (8089.02ha) and crop/fallow (5965.74ha) land in last three decades (1989-2020). The findings of the study help in important policy implications for the sustainable LULC management in Dinajpur region of Bangladesh.","PeriodicalId":410457,"journal":{"name":"American Journal of Geospatial Technology","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116649217","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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