Azizul Ahmad
Biographic Data
| ID | 3782034 |
|---|---|
| NAME | Azizul Ahmad |
| GIVEN NAMES | Azizul |
| FAMILY NAME | Ahmad |
| SIGNATURE | AHMAD A |
| AFFILIATIONS | Universiti Malaysia Sarawak |
| ORCID | 0000-0003-3710-5626 |
| VERIFIED | Yes |
| TOTAL WORKS | 13 |
| TOTAL CITATIONS | 17 |
| AUTHOR COUNT | 13 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2017 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
Forecasting Coastal Morphodynamics and Urban Expansion at Sungai Karang, Malaysia
This study examines the predictive modeling of beach morphology and land use changes at Sungai Karang, Kuantan, Malaysia, utilizing machine learning techniques with a Random Forest model developed within the Google Earth Engine (GEE) framework. The model, trained on historical land use and morphological data from 2008 and 2013, predicts significant land use modifications by 2030. The model achieved an accuracy of 98.71% and a Kappa coefficient of…
Spatio-Temporal Analysis of Assault with Dangerous Weapons
This study investigates armed assaults (Section 324 offences) in Kuala Lumpur and Putrajaya (2015–2020) by integrating police crime records with high-resolution GIS land use data. Using optimized Hot Spot Analysis (Getis-Ord Gi*), we identify significant spatio-temporal clusters. Assaults concentrate in transit corridors and institutional or commercial zones during evening hours, while residential areas show heightened night-time risk. Violence i…
Male Electorate and Electoral Mandates
This study examines the role of the male electorate in determining electoral outcomes in Sarawak's state elections from 2006 through 2021. In doing so, it addresses a gap in the literature: previous work has highlighted gender-specific turnout effects (e.g., strong associations between female turnout and victory margins), but the specific influence of the male electorate has not been separately quantified. Using official constituency-level data f…
Estimating Forest Aboveground Biomass Density Using Remote Sensing and Machine Learning
An accurate estimation of aboveground biomass (AGB) density is essential for effective forest management, carbon stock monitoring, and informed land management decisions. This study employs remote sensing datasets and collaborative efforts with ArcGIS to model AGB density across the Terengganu region. Integrated with the random forest algorithm in the Google Earth Engine for AGB density modeling at a spatial resolution of 1 km, the methodology in…
Between day and night
Rapid urbanization in Malaysia has shaped a complex property crime landscape, especially in Selangor and Kuala Lumpur. This study examines the relationship between urban land use and property crime (2015–2020) using spatial analysis, particularly Getis-Ord Gi* hot spot analysis. By categorizing 12 land use types and analyzing four daily timeframes, it identifies crime-prone areas and temporal trends. Findings highlight land use influences on crim…
Mapping Danger Zones
This study investigates the spatial and temporal dynamics of assault crimes involving dangerous weapons under Section 324 of the Malaysian Penal Code, focusing on Kuala Lumpur and Putrajaya from 2015 to 2020. The research addresses the critical issue of understanding urban crime patterns to inform effective preventive measures. Using a geographic information system (GIS)-based methodology, the study employs spatial autocorrelation (Global Moran's…
Urban Property Crime
Urban property crime, such as burglary and theft, remains a critical challenge in rapidly urbanizing cities like Kuala Lumpur and Putrajaya. Despite extensive urbanization, research on the complex relationships among land use, demographic factors and crime patterns remains limited. This study employs geographic information systems (GIS) and linear regression analysis to examine how land use configurations and demographic characteristics influence…
Aging in Motion
The global rise in aging populations is reshaping urban landscapes, particularly in Southeast Asia. In Malaysia, Sarawak is projected to become an aging state by 2028, but the spatial patterns of senior citizen distribution remain underexplored, especially in the context of long-term urbanization. Despite the growing need for age-inclusive planning, little is known about how urban growth affects senior citizen density in diverse regions like Sara…
Deciphering Property Crime Through OLS Regression
This study explores the correlation between property crime and demographic factors in Kuala Lumpur and Putrajaya using spatial autocorrelation (SA) and ordinary least squares (OLS) regression from 2015 to 2020. The 2016 SA analysis shows a significant increase in Moran's I index (0.012905), with a positive z-score of 2.020088 and a p value of 0.043374, indicating spatial clustering of crime. The study examines how factors like total population, h…
Unveiling urban violence crime in the State of the Selangor, Kuala Lumpur and Putrajaya
This study investigates the intricate relationship between violent criminal activities, temporal patterns, and land utilization across Selangor State, Kuala Lumpur Federal Territory (KLFT), and Putrajaya Federal Territory (PFT), Malaysia, spanning from 2015 to 2020. Employing the Hot Spot (Getis-Ord Gi*) technique within a GIS framework, the research contributes to data storage and map generation, enhancing the capabilities of entities such as th…
Archaeology as Cultural Heritage in the Kurdistan Region of Iraq
Cultural heritage in the Middle East has over the past decades been treated and discussed in terms of an unfolding catastrophe. International archaeologists have responded with a set of emergency measures that include the remote monitoring of site conditions, the exposing of the trade in illicit antiquities, and the provision of technical assistance and training for the conservation, reconstruction, and monitoring of monuments and sites. These in…
The effects of community factors on residents’ perceptions toward World Heritage Site inscription and sustainable tourism development
Using partial least squares-structural equation modeling, we analyzed data from 410 questionnaires completed by a sample of residents from the vicinity of the George Town World Heritage Site (WHS), Malaysia, to investigate the effects of community factors on residents’ perceptions and support for WHS conservation and tourism development. To conceptualize these relationships, we developed a framework based on social exchange theory (SET) and previ…
Community participation in World Heritage Site conservation and tourism development
Community participation in World Heritage Site conservation and tourism development
Deciphering Property Crime Through OLS Regression
This study explores the correlation between property crime and demographic factors in Kuala Lumpur and Putrajaya using spatial autocorrelation (SA) and ordinary least squares (OLS) regression from 2015 to 2020. The 2016 SA analysis shows a significant increase in Moran's I index (0.012905), with a positive z-score of 2.020088 and a p value of 0.043374, indicating spatial clustering of crime. The study examines how factors like total population, h…
The effects of community factors on residents’ perceptions toward World Heritage Site inscription and sustainable tourism development
Using partial least squares-structural equation modeling, we analyzed data from 410 questionnaires completed by a sample of residents from the vicinity of the George Town World Heritage Site (WHS), Malaysia, to investigate the effects of community factors on residents’ perceptions and support for WHS conservation and tourism development. To conceptualize these relationships, we developed a framework based on social exchange theory (SET) and previ…
Community participation in World Heritage Site conservation and tourism development
Unveiling urban violence crime in the State of the Selangor, Kuala Lumpur and Putrajaya
This study investigates the intricate relationship between violent criminal activities, temporal patterns, and land utilization across Selangor State, Kuala Lumpur Federal Territory (KLFT), and Putrajaya Federal Territory (PFT), Malaysia, spanning from 2015 to 2020. Employing the Hot Spot (Getis-Ord Gi*) technique within a GIS framework, the research contributes to data storage and map generation, enhancing the capabilities of entities such as th…
Archaeology as Cultural Heritage in the Kurdistan Region of Iraq
Cultural heritage in the Middle East has over the past decades been treated and discussed in terms of an unfolding catastrophe. International archaeologists have responded with a set of emergency measures that include the remote monitoring of site conditions, the exposing of the trade in illicit antiquities, and the provision of technical assistance and training for the conservation, reconstruction, and monitoring of monuments and sites. These in…
Estimating Forest Aboveground Biomass Density Using Remote Sensing and Machine Learning
An accurate estimation of aboveground biomass (AGB) density is essential for effective forest management, carbon stock monitoring, and informed land management decisions. This study employs remote sensing datasets and collaborative efforts with ArcGIS to model AGB density across the Terengganu region. Integrated with the random forest algorithm in the Google Earth Engine for AGB density modeling at a spatial resolution of 1 km, the methodology in…
Between day and night
Rapid urbanization in Malaysia has shaped a complex property crime landscape, especially in Selangor and Kuala Lumpur. This study examines the relationship between urban land use and property crime (2015–2020) using spatial analysis, particularly Getis-Ord Gi* hot spot analysis. By categorizing 12 land use types and analyzing four daily timeframes, it identifies crime-prone areas and temporal trends. Findings highlight land use influences on crim…
Mapping Danger Zones
This study investigates the spatial and temporal dynamics of assault crimes involving dangerous weapons under Section 324 of the Malaysian Penal Code, focusing on Kuala Lumpur and Putrajaya from 2015 to 2020. The research addresses the critical issue of understanding urban crime patterns to inform effective preventive measures. Using a geographic information system (GIS)-based methodology, the study employs spatial autocorrelation (Global Moran's…
Urban Property Crime
Urban property crime, such as burglary and theft, remains a critical challenge in rapidly urbanizing cities like Kuala Lumpur and Putrajaya. Despite extensive urbanization, research on the complex relationships among land use, demographic factors and crime patterns remains limited. This study employs geographic information systems (GIS) and linear regression analysis to examine how land use configurations and demographic characteristics influence…
Aging in Motion
The global rise in aging populations is reshaping urban landscapes, particularly in Southeast Asia. In Malaysia, Sarawak is projected to become an aging state by 2028, but the spatial patterns of senior citizen distribution remain underexplored, especially in the context of long-term urbanization. Despite the growing need for age-inclusive planning, little is known about how urban growth affects senior citizen density in diverse regions like Sara…
Deciphering Property Crime Through OLS Regression
This study explores the correlation between property crime and demographic factors in Kuala Lumpur and Putrajaya using spatial autocorrelation (SA) and ordinary least squares (OLS) regression from 2015 to 2020. The 2016 SA analysis shows a significant increase in Moran's I index (0.012905), with a positive z-score of 2.020088 and a p value of 0.043374, indicating spatial clustering of crime. The study examines how factors like total population, h…
Forecasting Coastal Morphodynamics and Urban Expansion at Sungai Karang, Malaysia
This study examines the predictive modeling of beach morphology and land use changes at Sungai Karang, Kuantan, Malaysia, utilizing machine learning techniques with a Random Forest model developed within the Google Earth Engine (GEE) framework. The model, trained on historical land use and morphological data from 2008 and 2013, predicts significant land use modifications by 2030. The model achieved an accuracy of 98.71% and a Kappa coefficient of…
Spatio-Temporal Analysis of Assault with Dangerous Weapons
This study investigates armed assaults (Section 324 offences) in Kuala Lumpur and Putrajaya (2015–2020) by integrating police crime records with high-resolution GIS land use data. Using optimized Hot Spot Analysis (Getis-Ord Gi*), we identify significant spatio-temporal clusters. Assaults concentrate in transit corridors and institutional or commercial zones during evening hours, while residential areas show heightened night-time risk. Violence i…
Male Electorate and Electoral Mandates
This study examines the role of the male electorate in determining electoral outcomes in Sarawak's state elections from 2006 through 2021. In doing so, it addresses a gap in the literature: previous work has highlighted gender-specific turnout effects (e.g., strong associations between female turnout and victory margins), but the specific influence of the male electorate has not been separately quantified. Using official constituency-level data f…
Geography (9 works) · Crime Patterns and Interventions (6 works) · Political science (5 works) · Socioeconomics (5 works) · Sociology (5 works) · Crime, Illicit Activities, and Governance (4 works) · Economics (4 works) · Business (3 works) · Computer Science (3 works) · Criminology (3 works)