azizul ahmad

@linktr.ee

Centre for Spatially Integrated Digital Humanities, Faculty of Social Sciences & Humanities, Universiti Malaysia Sarawak (UNIMAS)
Graduate Research Assistant

azizul ahmad


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https://researchid.co/jijo3585

RESEARCH, TEACHING, or OTHER INTERESTS

Geography, Planning and Development, General Social Sciences
30

Scopus Publications

678

Scholar Citations

14

Scholar h-index

26

Scholar i10-index

Scopus Publications

  • Aging in Motion: Mapping the Dynamic Interplay Between Urban Growth and Senior Citizen Density in Sarawak, Malaysia (1980–2020)
    Asykal Syakinah Mohd Ali, Tarmiji Masron, Syahrul Nizam Junaini, Yoshinari Kimura, Azizul Ahmad, Luqman Bismelah
    International Social Science Journal, 2026
    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 Sarawak, where rapid urbanization coexists with vast rural territories. This knowledge gap limits effective policy responses and urban planning for elder populations. This study employs a mixed‐method geospatial approach using decadal census data (1980–2020) and spatial analysis in ArcGIS to map the distribution of individuals aged 65 and above across 40 administrative districts. Built‐up area growth was assessed using remote sensing‐derived indices to track urban expansion and correlate it with elderly population shifts. Findings reveal a consistent increase in senior citizen density in key urban districts such as Kuching, Sibu and Miri, with patterns reflecting infrastructural availability and socio‐ecological influences. Spatial overlays demonstrate that urban peripheries are becoming hotspots for aging populations, driven by proximity to services and improved connectivity. This research provides the first long‐term spatial account of aging and urban growth in Sarawak. The results offer critical insights for demographers, urban planners and social policymakers seeking to future‐proof cities against aging‐related challenges, particularly in Malaysia and similar developing contexts. Given the accelerating pace of demographic aging, we call for data‐driven, spatially sensitive urban policies that promote equity, accessibility and social integration for senior citizens in emerging cityscapes.
  • Spatial Analysis of Flood-Prone Areas in Padang Terap, Kedah: Integrating Spatial Autocorrelation and Optimized Hotspot Analysis
    Azizul Ahmad, Mohd Zulhafiz Said, Salfarina Abdul Gapor, Lindah Roziani Jamru, Norita Jubit, Sumayyah Aimi Mohd Najib, Tarmiji Masron, Nur Afiqah Ariffin, Yaniza Shaira Zakaria
    Forum Geografi, 2026
    Flooding increasingly threatens socio-economic resilience in Malaysia, particularly in vulnerable districts such as Padang Terap, Kedah. Using a GIS-based framework integrating Spatial Autocorrelation (Moran’s I) and Optimized Hotspot Analysis (Getis-Ord Gi*), this study quantifies spatial clustering of flood-prone areas across four inundation levels (0.3 m–3.7 m). Results reveal intensifying positive spatial autocorrelation with rising flood depths, reflecting hydrological connectivity and topographic controls. Hotspots are consistently concentrated in Belimbing Kanan, Belimbing Kiri, and Padang Temak, emphasizing severe spatial heterogeneity in flood risk distribution. These findings demonstrate that flood hazards are not randomly dispersed but spatially structured, necessitating geographically targeted risk mitigation strategies. Incorporating hotspot insights into planning can optimize resource allocation, strengthen adaptive capacity, and inform flood-resilient urban development. This research advocates for integrating fine-scale spatial analyses into national disaster frameworks to enhance Malaysia’s climate resilience agenda. Future work should embed socio-economic vulnerability metrics and spatiotemporal models to refine flood risk governance and promote equitable, anticipatory disaster management.
  • Forecasting Coastal Morphodynamics and Urban Expansion at Sungai Karang, Malaysia: A Machine Learning Approach within Google Earth Engine toward 2030
    Azizan Marzuki, Yaniza Shaira Zakaria, Tarmiji Masron, Nur Afiqah Ariffin, Milad Bagheri, Azizul Ahmad
    Land Degradation and Development, 2026
    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 0.9850, indicating strong agreement between predicted and actual classifications. Key findings reveal an exponential increase in urbanization from 141.49 ha in 2008 to 8421.23 ha by 2030, signifying rapid urban growth. At the same time, natural ecosystems, including forests and marshlands, face substantial decline, with forests nearly vanishing by 2030 (from 895.35 to 1.88 ha). Mangrove forests, which fluctuate in earlier periods, are projected to decrease to 2055.98 ha by 2030. Other notable changes encompass reductions in water bodies and recreational areas, while infrastructure such as roads and railways expands, reflecting broader urban development. The model also predicts a significant increase in quarrying activities, indicating higher risks of land degradation. These results highlight the urgent need for sustainable land use planning, especially in protecting vulnerable ecosystems and mitigating the effects of urbanization and industrialization. The study provides valuable insights for policymakers, stressing the importance of integrating climate resilience and environmental conservation into development strategies. This predictive approach offers an essential tool for informed decision‐making, promoting more balanced and sustainable regional growth.
  • Exploring the 21 Years Trend of Deforestation in Terengganu State and its Impact on Natural Heritage
    YANIZA SHAIRA ZAKARIA, AZIZUL AHMAD, NUR AFIQAH ARIFFIN, AIDY M. MUSLIM, MOLOOD SEIFI, NURIAH ABD MAJID, EISSA ZAIDAN ALSHAMMARI, WAN MOHD MUHIYUDDIN WAN IBRAHIM
    Journal of Sustainability Science and Management, 2026
    Deforestation in Terengganu significantly threatens the local environment. This study uses Google Earth Engine (GEE), machine learning, and remote sensing data to identify changes in forest coverage over 20 years and their impacts on cultural heritage. Utilising Landsat 8, Sentinel-2, and the Hansen Global Forest Change dataset, the Normalised Difference Vegetation Index (NDVI) was calculated to quantify vegetation changes. The data show a decrease of 213,103 hectares in 2016 and 196,645 hectares in 2017, with a total loss of 287,328 hectares during the study period. The findings indicate substantial deforestation, particularly in metropolitan regions, with a strong negative correlation between forest cover and population, highlighting human activities' significant impact. The study also examines the relationship between deforestation and proximity to urban centres, noting higher forest loss around metropolitan areas between 2006 and 2011, mainly due to the East Coast Highway expansion. The study underscores the need for sustainable land use practices, conservation measures, and effective forest monitoring to combat deforestation in Terengganu.
  • Spatio-temporal patterns of urban property crime in Malaysia: towards safer, inclusive cities (SDGs 11 and 16)
    Azizul Ahmad, Tarmiji Masron, Mohamad Hardyman Barawi, Syahrul Nizam Junaini, Asykal Syakinah Mohd Ali, Norita Jubit, Ryoji Soda, Yoshinari Kimura, Ruslan Rainis
    Papers in Applied Geography, 2026
    Urban property crime impedes sustainable development, yet its spatial and temporal dynamics remain poorly understood in Malaysian cities. To address this gap, the spatial and temporal clustering of property crime across Selangor, Kuala Lumpur, and Putrajaya was analyzed for 2015–2020. Police‐reported incidents were geocoded to precinct boundaries and examined using GIS‐based spatial statistics: Global Moran’s I measured overall spatial autocorrelation and Getis–Ord Gi* identified local crime hotspots. Results show significant positive spatial autocorrelation each year (Moran’s I = 0.114–0.297; Z = 5.33–13.22; p < 0.001), indicating pronounced clustering. Hotspot analysis revealed persistent high-risk clusters: notably, the Jinjang and Tun H.S. Lee precincts of Kuala Lumpur were hotspots every year, and areas like Jalan Tun Razak had Gi* Z-scores up to ≈5.6 (p ≪ 0.01). These clusters accounted for a large share of incidents (e.g. Ampang 2018, Z ≈ 5.62), underscoring strong spatial concentration of crime. The spatial evidence supports targeted, evidence‐based policing and aligns with SDG 16 and SDG 11 by guiding strategic crime reduction for safer, more inclusive cities. These findings yield a robust GIS framework for spatially informed crime prevention and urban planning, enhancing institutional accountability and advancing sustainable city objectives.
  • Estimating Forest Aboveground Biomass Density Using Remote Sensing and Machine Learning: A RSME Approach
    Yaniza Shaira Zakaria, Mohd Fadzil Akhir, Aidy M. Muslim, Nur Afiqah Ariffin, Azizul Ahmad
    Land Degradation and Development, 2025
    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 incorporates GEDI Level 4, Sentinel‐1 radar, Sentinel‐2 optical imagery, and elevation/slope maps. The validation results indicated a root mean square error (RMSE) of 51.35 t per hectare and an average training error of 31.82 t per hectare, demonstrating the model's accuracy and reliability. The model's strong predictive performance (R2 = 0.77) implies that the independent variables accounted for 77% of the variability in the AGB. With a standard deviation of 64.52 t per hectare, the average AGB in the Terengganu area was 90.94 t per hectare, with AGB values ranging widely from 16.89 to 206.99 t per hectare across the region. These findings highlight the potential of integrating multiple remote sensing data sources for comprehensive AGB density mapping, thereby enhancing the monitoring of forest carbon stocks and fostering informed management approaches. This study underscores the importance of open‐access data and cloud‐based technologies, thereby supporting the availability of tools to implement comparable projects. This research illustrates the significance of combining different datasets and machine learning techniques for the remote assessment of forest biomass, thereby facilitating the improved modeling of ecosystem characteristics and sustainability initiatives. By emphasizing the need for advanced technologies and collaborative strategies, this study enhances forest biomass assessments and supports informed environmental management practices.
  • Urban Property Crime: Examining the Relationship Between Property Crime With Land Use and Demographic Factor
    Tarmiji Masron, Azizul Ahmad, Khalid Zanudin, Nazarudin Zainun, Ruslan Rainis
    International Social Science Journal, 2025
    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 property crime from 2015 to 2020. The results indicate that residential areas and transport infrastructure are the most significant land use predictors, explaining over 91% of crime variance, whereas demographic variables, including male population and household size, exhibit adjusted R2 values exceeding 85%. The findings underscore the role of spatial and demographic factors in shaping urban crime dynamics. This study highlights the need for targeted interventions, such as crime prevention through environmental design (CPTED), enhanced surveillance and youth‐focused initiatives to mitigate risks in high‐crime areas. By integrating spatial and demographic analyses, this research offers a comprehensive framework for data‐driven urban crime prevention strategies, with implications for policymakers, urban planners and law enforcement agencies.
  • Mapping Danger Zones: GIS-Based Spatiotemporal Analysis of Assaults in Kuala Lumpur and Putrajaya, Malaysia
    Tarmiji Masron, Azizul Ahmad, Muhammad Farish Mohd Sahid, Syahrul Nizam Junaini, Yoshinari Kimura, Farah Zaini
    International Social Science Journal, 2025
    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 I), mean centre analysis and standard deviational ellipse to identify and characterize crime hotspots and trends across different time frames. Findings reveal significant clustering of assaults, particularly during evening (12:00–6:59 PM) and night (7:00–11:59 PM) hours, with an alarming increase in evening incidents. These results underscore the need for time‐sensitive interventions targeting high‐risk periods and locations. The study concludes that advanced spatial analysis offers invaluable insights into urban crime, advocating for its integration into proactive policing strategies and urban planning. This research contributes to improving public safety by enabling data‐driven decision‐making and fostering sustainable crime prevention policies.
  • Exploring Spatial Relationship in Criminal Behavior: A Spatial Analysis of Offenders’ Homes and Theft Locations in Kuching, Sarawak, Malaysia
    Norita Jubit, Tarmiji Masron, Ryoji Soda, Azizul Ahmad, Mohd Norarshad Nordin
    Forum Geografi, 2025
    This study aims to identify the proximity of offenders' homes to the theft location in Kuching, Sarawak. The attribute data includes the total number of theft offenders in Kuching in 2018, categorized as solo and co-offenders. It also details the modus operandi used in these thefts, as well as the offenders' employment and educational backgrounds. At the same time, spatial data consists of Kuching and Samarahan land use types, Kuching police station sector boundaries, the home addresses of offenders, and the locations where thefts occurred. This study applied standard deviation ellipses, Euclidean distance analysis, and kernel density estimation. The findings indicate that young people and individuals in their late twenties (15-29 year olds) are at a higher risk of engaging in theft activities. Their target areas are often close to their homes, particularly in urban areas lacking CCTV and security guards. Offenders in urban areas, who are unemployed at the age of 15-29 years old and have low education (SPM level), tend to be thieves. Both solo offenders and co-offenders tend to commit theft near their home. The total number of solo offenders of theft is 78.5%, and co-offenders are 21.4%. The analysis reveals a high level of spatial clustering among offenders, with their homes concentrated in the urban center of Kuching, where crime is most prevalent. The findings imply that offenders' residences are localized in specific urban areas rather than being evenly distributed across the districts of Kuching, Sarawak. The offenders typically travel short distances when engaging in property crime, especially theft. The study suggests that land use planning should consider the concentration of offenders in urban areas. The study also highlights the importance of targeted patrols in high-crime urban areas, especially those lacking CCTV and security guards.
  • Deciphering Property Crime Through OLS Regression: A Demographic Study
    Tarmiji Masron, Azizul Ahmad, Kiky Kirina Abdillah, Asykal Syakinah Mohd Ali, Syahrul Nizam Junaini, Yoshinari Kimura
    International Social Science Journal, 2025
    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, household areas, residential areas, male populations and female populations influence number of property crime cases, revealing varying relationships year by year. By highlighting fluctuations in R‐squared and F‐statistic values, this research challenges static crime models, advocating for adaptable, data‐driven strategies in crime prevention. These findings emphasize the importance of continuous policy adjustments to address the evolving socio‐economic dynamics of urban areas.
  • Urban Violent Crime Dynamics in Kuala Lumpur and Putrajaya: Utilizing Spatial Temporal Techniques
    Mohd Sofian Redzuan, Tarmiji Masron, Syahrul Nizam Junaini, Yoshinari Kimura, Mohamad Hardyman Barawi, Mohamad Suhaidi Salleh, Ruslan Rainis, Azizul Ahmad, Adibah Yusuf
    Forum Geografi, 2025
  • Assessing Malaysia’s Urban Security through Emerging Hot Spot Analysis (EHSA): A Spatiotemporal Investigation of Burglary Patterns within Police Jurisdictions of Selangor, Kuala Lumpur, and Putrajaya, Malaysia
    M.S. Redzuan, T. Masron, A. Ahmad, K.K. Abdillah, A. Yusuf, et al.
    International Journal of Geoinformatics, 2025
  • Ethnic Disparities and Demographic Shifts in Sarawak's Aging Population: A Comprehensive Longitudinal Analysis (1980-2020)
    A.S. Mohd Ali, T. Masron, S.N. Junaini, A. Ahmad, R. Soda
    International Journal of Geoinformatics, 2025
  • Optimizing Tuberculosis Treatment Predictions: A Comparative Study of XGBoost with Hyperparameter in Penang, Malaysia
    Yaniza Shaira Zakaria, Nur Afiqah Ariffin, Azizul Ahmad, Ruslan Rainis, Aidy M. Muslim, Wan Mohd Muhiyuddin Wan Ibrahim
    Sains Malaysiana, 2025
  • Between day and night: deciphering the nexus of land use and property crime in Malaysia’s urban territories
    Azizul Ahmad, Tarmiji Masron, Mohamad Hardyman Barawi, Syahrul Nizam Junaini, Yoshinari Kimura, Ruslan Rainis, Mohd Azizul Hafiz Jamian
    Planning Practice and Research, 2025
  • ANALYSING PROPERTY CRIME MOVEMENTS IN URBAN MALAYSIA: THE ROLE OF STANDARD DEVIATIONAL ELLIPSE (SDE) AND MEAN CENTRE (MC) TECHNIQUES
    , TARMIJI MASRON, AZIZUL AHMAD, , KIKY KIRINA ABDILLAH, , SYAHRUL NIZAM JUNAINI, , NORITA JUBIT, , YOSHINARI KIMURA, , RUSLAN RAINIS, and
    Journal of Sustainability Science and Management, 2025
  • Analyzing Burglary Dynamics through Land Use in Selangor, Kuala Lumpur, and Putrajaya: A Space-Time EHSA Approach
    Azizul Ahmad, Tarmiji Masron, Syahrul Nizam Junaini, Mohd Azizul Hafiz Jamian, Mohamad Hardyman Barawi, Yoshinari Kimura, Norita Jubit, Ruslan Rainis
    Indonesian Journal of Geography, 2025
  • Examining transformations in coastal city landscapes: spatial patch analysis of sustainable tourism—a case study in Pahang, Malaysia
    Azizan Marzuki, Milad Bagheri, Azizul Ahmad, Tarmiji Masron, Mohd Fadzil Akhir
    Landscape and Ecological Engineering, 2024
  • EXPLORING THE POTENTIAL OF GEOGRAPHIC INFORMATION SYSTEM (GIS) APPLICATION FOR UNDERSTANDING SPATIAL DISTRIBUTION OF VIOLENT CRIME RELATED TO UNITED NATIONS SUSTAINABLE DEVELOPMENT GOAL-16 (SDG-16)
    Universiti Malaysia Sarawak, Azizul Ahmad, Tarmiji Masron, Universiti Malaysia Sarawak, Asykal Syakinah Mohd Ali, et al.
    Journal of Sustainability Science and Management, 2024
  • Mapping the unseen: Dissecting property crime dynamics in urban Malaysia through spatial analysis
    Azizul Ahmad, Tarmiji Masron, Syahrul Nizam Junaini, Yoshinari Kimura, Mohamad Hardyman Barawi, Norita Jubit, Mohd Sofian Redzuan, Luqman Haqim Bismelah, Asykal Syakinah Mohd Ali
    Transactions in GIS, 2024
  • Investigating the Spatial Relation between Landuse and Property Crime in Kuching, Sarawak through Location Quotient Analysis
    Norita Norita, Tarmiji Masron, Azizul Ahmad, Ryoji Soda
    Forum Geografi, 2024
  • Revealing Adolescent Drug Trafficking and Addiction: Exploring School Disciplinary and Drug Issues in the Federal Territory of Kuala Lumpur and Selangor, Malaysia
    N. Jubit, T. Masron, M.S. Ridzuan, A. Ahmad, K. Yoshinari
    International Journal of Geoinformatics, 2024
  • Analysis of the Movement Distribution Pattern of Violent Crime in Malaysia's Capital Region-Selangor, Kuala Lumpur, and Putrajaya
    Azizul Ahmad, Tarmiji Bin Masron, Norita Jubit, Mohd Sofian Redzuan, Ryo Soda, et al.
    International Journal of Geoinformatics, 2024
  • DEMOGRAPHIC DYNAMICS AND URBAN PROPERTY CRIME: A LINEAR REGRESSION ANALYSIS IN KUALA LUMPUR AND PUTRAJAYA (2015-2020)
    Azizul Ahmad, Tarmiji Masron, Asykal Syakinah Mohd Ali, Yoshinari Kimura, Syahrul Nizam Junaini
    Planning Malaysia, 2024
  • Mapping the Impact: Property Crime Trends in Kuching, Sarawak, During and After the COVID-19 Period (2020-2022)
    Azizul Ahmad, Muhammad Haziq Kelana, Ryoji Soda, Norita Jubit, Asykal Syakinah Mohd Ali, Luqman Haqim Bismelah, Tarmiji Masron
    Indonesian Journal of Geography, 2024
  • Unveiling urban violence crime in the State of the Selangor, Kuala Lumpur and Putrajaya: a spatial–temporal investigation of violence crime in Malaysia’s key cities
    Azizul Ahmad, Tarmiji Masron, Yoshinari Kimura, Mohamad Hardyman Barawi, Norita Jubit, Syahrul Nizam Junaini, Mohd Sofian Redzuan, Asykal Syakinah Mohd Ali, Luqman Haqim Bismelah
    Cogent Social Sciences, 2024
  • Criminological Insights: A Comprehensive Spatial Analysis of Crime Hot Spots of Property Offenses in Malaysia's Urban Centers
    Azizul Ahmad, Tarmiji Masron, Syahrul Nizam Junaini, Mohamad Hardyman Barawi, Mohd Sofian Redzuan, Yoshinari Kimura, Norita Jubit, Luqman Haqim Bismelah, Asykal Syakinah Mohd Ali
    Forum Geografi, 2024
  • Exploring intensity metrics in raw LiDAR data processing for tropical forests
    Lindah Roziani Jamru, Mazlan Hashim, Mui How Phua, Adi Jafar, Nordin Sakke, Oliver Valentine Eboy, Ubong Imang, Maslina Natar, Azizul Ahmad, Sumayyah Aimi Mohd Najib
    Iop Conference Series Earth and Environmental Science, 2024
  • Establishing a GIS-SMCDA model of sustainable eco-tourism development in Pahang, Malaysia
    Azizan Marzuki, Milad Bagheri, Azizul Ahmad, Tarmiji Masron, Mohd Fadzil Akhir
    Episodes, 2023
  • GIS AND OIL SPILL TRACKING MODEL IN FORECASTING POTENTIAL OIL SPILL-AFFECTED AREAS ALONG TERENGGANU AND PAHANG COASTAL AREA
    Yaniza Shaira Zakaria, Azizul Ahmad, Mohd Zulhafiz Said, Ailis Elizabeth Epa, Nur Afiqah Ariffin, Aidy M. Muslim, Mohd Fadzil Akhir, Rosazman Hussin
    Planning Malaysia, 2023

RECENT SCHOLAR PUBLICATIONS

  • Forecasting Coastal Morphodynamics and Urban Expansion at Sungai Karang, Malaysia: A Machine Learning Approach within Google Earth Engine Toward 2030
    A Marzuki, YS Zakaria, T Masron, NA Ariffin, M Bagheri, A Ahmad
    Land Degradation & Development, 1-14 , 2026
    2026
  • Spatio-Temporal Analysis of Assault with Dangerous Weapons: Uncovering Land Use Correlates of Violent Crime in Malaysian Urban Centres
    T Masron, A Ahmad, HA Wahid, MF Mat, R Rainis, R Soda
    The Arab World Geographer / Le Géographe du monde arabe 29 (2), 99-129 , 2026
    2026
  • Male Electorate and Electoral Mandates: Regression Analysis in Sarawak State Elections (2006–2021)
    MR Sitam, T Masron, A Ahmad, ASM Ali, Y Kimura, R Soda
    The Arab World Geographer / Le Géographe du monde arabe 29 (2), 143-153 , 2026
    2026
  • Female Voter Turnout and Victory Margins in Sarawak Elections: A Linear Regression Analysis (2006–2021)
    MR Sitam, T Masron, A Ahmad, Y Kimura, R Soda
    Akademika 96 (1), 237-253 , 2026
    2026
  • Exploring the 21 Years Trend of Deforestation in Terengganu State and its Impact on Natural Heritage
    Zakaria, Y. S., Ahmad, A., Ariffin, N. A., Muslim, A. M., Seifi, M., Abd ...
    Journal of Sustainability Science and Management 21 (3), 575-598 , 2026
    2026
  • Spatial Divergence in Ageing and Dependency Burden Across Administrative Districts in Sarawak (2010–2020)
    ASM Ali, T Masron, MR Sitam, A Ahmad, Y Kimura
    International Journal for Studies on Children, Women, The Elderly and … , 2026
    2026
  • Aging in Motion: Mapping the Dynamic Interplay Between Urban Growth and Senior Citizen Density in Sarawak, Malaysia (1980–2020)
    AS Mohd Ali, T Masron, SN Junaini, Y Kimura, A Ahmad, LH Bismelah
    International Social Science Journal 76 (259), 145-162 , 2026
    2026
    Citations: 4
  • Unlocking Langkawi's Tourism Potential: Spatial Analysis of Attractions and Facilities
    A Ahmad, A Ardiansyah, NA Ariffin, YS Zakaria, MZ Said, NM Ayob, ...
    Geografia-Malaysian Journal of Society and Space 22 (1), 182-216 , 2026
    2026
    Citations: 1
  • Spatial Analysis of Gender-Based High Risks of School Dropout: A Comparative Study of Urban and Rural Areas in Sarawak, Malaysia
    D Chabo, T Masron, N Jubit, A Ahmad
    Geografia-Malaysian Journal of Society and Space 22 (1), 111-132 , 2026
    2026
  • Spatial Analysis of Flood-Prone Areas in Padang Terap, Kedah: Integrating Spatial Autocorrelation and Optimized Hotspot Analysis
    A Ahmad, MZ Said, SA Gapor, LR Jamru, N Jubit, SAM Najib, T Masron, ...
    Forum Geografi: Indonesian Journal of Spatial and Regional Analysis 40 (1 … , 2026
    2026
    Citations: 3
  • Mapping Barriers and Opportunities: Advancing Inclusive Service Delivery for Autistic Children in Kelantan
    R Ijon, A Ahmad, Y Kurniawan, NAF Azim@Nik Azim, FA Rusdi, ...
    Proceeding of International University Carnival on E-Learning (IUCEL 2025 … , 2026
    2026
  • Spatio-Temporal Patterns of Urban Property Crime in Malaysia: Towards Safer, Inclusive Cities (SDGs 11 and 16)
    A Ahmad, T Masron, MH Barawi, SN Junaini, AS Mohd Ali, N Jubit, ...
    Papers in Applied Geography , 2026
    2026
  • Spatial Divergence in Ageing and Dependency Burden Across Administrative Districts in Sarawak (2010–2020)
    ASM Ali, T Masron, MR Sitam, A Ahmad, Y Kimura
    Conference: PROSIDING PERSIDANGAN KEPENDUDUKAN KEBANGSAAN 2025 (PERKKS25 … , 2025
    2025
  • Offence location choices and modus operandi for motor car theft in Kuching, Sarawak, Malaysia
    N Jubit, T Masron, A Ahmad, Y Kimura, R Soda
    2025
  • Spatial Analysis of Female Voter Turnout in Sarawak Legislative Elections (2006-2021): Spatial-Temporal Patterns and Electoral Impacts
    MR Sitam, T Masron, A Ahmad, AS Mohd Ali
    1st International Congress on Green Engineering and Sustainable Development … , 2025
    2025
  • Exploring Spatial Relationship in Criminal Behavior: A Spatial Analysis of Offenders’ Homes and Theft Locations in Kuching, Sarawak, Malaysia
    N Jubit, T Masron, R Soda, A Ahmad, MN Nordin
    Forum Geografi: Indonesian Journal of Spatial and Regional Analysis 39 (2) , 2025
    2025
    Citations: 4
  • Estimating Forest Aboveground Biomass Density Using Remote Sensing and Machine Learning: A RSME Approach
    YS Zakaria, MF Akhir, AM Muslim, NA Ariffin, A Ahmad
    Land Degradation & Development 36 (18), 6514-6527 , 2025
    2025
    Citations: 9
  • Between Day and Night: Deciphering the Nexus of Land Use and Property Crime in Malaysia’s Urban Territories
    A Ahmad, T Masron, MH Barawi, SN Junaini, Y Kimura, R Rainis, ...
    Planning Practice & Research, 1-35 , 2025
    2025
    Citations: 6
  • Leveraging Vulnerability and Adaptability Assessments to Enhance Fire Safety in Sungai Asap Longhouses, Sarawak
    Andre Kueh Richard Mering, Salfarina Abdul Gapor, Mohd Zulhafiz Said, Azizul ...
    International Journal of Research and Innovation in Social Science (IJRISS … , 2025
    2025
  • Shifting Shadows: A Location Quotient Analysis of Dynamic Drug Dealing and Addiction Patterns Within Police Station Boundaries in Kuala Lumpur and Selangor
    Norita Jubit, Tarmiji Masron, Mohd Sofian Redzuan, Ryoji Soda, Yoshinari ...
    International Journal of Geoinformatics , 2025
    2025

MOST CITED SCHOLAR PUBLICATIONS

  • Cultural heritage tourism in Malaysia: Issues and challenges
    N Ismail, T Masron, A Ahmad
    SHS Web of Conferences 12, 01059 , 2014
    2014
    Citations: 189
  • Establishing a GIS-SMCDA model of sustainable eco-tourism development in Pahang, Malaysia
    A Marzuki, M Bagheri, A Ahmad, T Masron, Akhir, Mohd Fadzil
    Episodes Journal of International Geoscience 46 (3), 375-387 , 2023
    2023
    Citations: 31
  • GIS and Oil Spill Tracking Model in Forecasting Potential Oil Spill-Affected Areas Along Terengganu and Pahang Coastal Area
    Zakaria, Y. S., Ahmad, A., Said, M. Z., Epa, A. E., Ariffin, N. A., M Muslim ...
    Planning Malaysia: Journal of the Malaysian Institute of Planners 21 (4) , 2023
    2023
    Citations: 20
  • Spatial analysis of international tourist movement to Langkawi for 2010 and 2011
    NFZ Basiron, A Ahmad, T Masron
    SHS Web of Conferences 12, 01066 , 2014
    2014
    Citations: 20
  • Identification of Trends, Direction of Distribution and Spatial Pattern of Tuberculosis Disease (2015-2017) in Penang
    Ariffin, N. A., Wan Ibrahim, W. M. M., Rainis, R., Samat, N., Mohd Nasir, M ...
    Geografia-Malaysian Journal of Society and Space 20 (1), 68-84 , 2024
    2024
    Citations: 19
  • Geographic Distribution of Voter Turnout, Ethnic Turnout and Vote Choices in Johor State Election
    Jubit, N., Masron, T., Puyok, A., & Ahmad, A.
    Geografia-Malaysian Journal of Society and Space 19 (4), 64-76 , 2023
    2023
    Citations: 19
  • Exploring Intensity Metrics in Raw LiDAR Data Processing for Tropical Forest
    Jamru, L. R., Hashim, M., Phua, M. H., Jafar, A., Sakke, N., Eboy, O. V ...
    IOP Conference Series: Earth and Environmental Science, Volume 1412, 12th … , 2024
    2024
    Citations: 18
  • Unveiling urban violence crime in the State of the Selangor, Kuala Lumpur and Putrajaya: a spatial–temporal investigation of violence crime in Malaysia’s key cities
    A Ahmad, T Masron, Y Kimura, MH Barawi, N Jubit, SN Junaini, ...
    Cogent Social Sciences 10 (1) , 2024
    2024
    Citations: 18
  • Regional Carrying Capacity (RCC) Issues Langkawi Islands, Kedah
    A Ahmad, N Mohd Ayob, A Abdul Majid
    Proceedings of International Conference on Tourism Development: Building the … , 2013
    2013
    Citations: 18
  • Initial studies on web based tourism decision support system (WBTDSS) case study: Langkawi Island, Kedah
    A Ahmad, T Masron, MA Osman, B Mohammed, A Marzuki
    Proceedings of 2nd Regional Conference on Tourism Research: Venturing into … , 2011
    2011
    Citations: 17
  • Criminological Insights: A Comprehensive Spatial Analysis of Crime Hot Spots of Property Offenses in Malaysia’s Urban Centers
    Ahmad, A., Masron, T., Junaini, S. N., Barawi, M. H., Redzuan, M. S., Kimura ...
    Forum Geografi: Indonesian Journal of Spatial and Regional Analysis 38 (1 … , 2024
    2024
    Citations: 16
  • Spatial distributions of tourist in Langkawi Island
    NM Ayob, A Ahmad, B Mohamed
    Proceedings of International Conference on Tourism Development, 301 309 , 2013
    2013
    Citations: 16
  • Analysis of the Movement Distribution Pattern of Violence Crime in Malaysia’s Capital Region-Selangor, Kuala Lumpur, and Putrajaya
    Ahmad, A., Masron, T., Jubit, N., Redzuan, M. S., Soda, R., Bismelah, L. H ...
    International Journal of Geoinformatics 20 (2), 11-26 , 2024
    2024
    Citations: 15
  • Taburan Ciri-Ciri Sosio-Demografi Pelancong Domestik Mengikut Lokasi Di Pulau Langkawi (Distribution of Socio-Demographic Characteristics of Domestic Tourists by Location on …
    NM Ayob, T Masron, A Ahmad
    International Journal of Environment, Society and Space 2 (2), 35-49 , 2014
    2014
    Citations: 15
  • Optimizing Tuberculosis Treatment Predictions: A Comparative Study of XGBoost with Hyperparameter in Penang, Malaysia (Mengoptimumkan Peramalan Rawatan Tuberkulosis: Suatu …
    Zakaria, Y. S., Ariffin, N. A., Ahmad, A., Rainis, R., M. Muslim, A., & Wan ...
    Sains Malaysiana 54 (1), 3743-3754 , 2025
    2025
    Citations: 14
  • Mapping The Unseen: Dissecting Property Crime Dynamics in Urban Malaysia Through Spatial Analysis
    Ahmad, A., Masron, T., Junaini, S. N., Kimura, Y., Barawi, M. H., Jubit, N ...
    Transactions in GIS 28 (6), 1486-1509 , 2024
    2024
    Citations: 14
  • Analisis Ruangan Hot Spot Jenayah Pecah Rumah di Negeri Selangor, Kuala Lumpur dan Putrajaya pada tahun 2015-2020 (Spatial Analysis of Crimes Hot Spot of Housebreaking in …
    Ahmad, A., Masron, T., Ringkai, E., Barawi, M. H., Salleh, M. S., Jubit, N ...
    Geografia-Malaysian Journal of Society and Space 20 (1), 49–67 , 2024
    2024
    Citations: 14
  • Crime Map Book
    Masron, T., Ahmad, A., Jubit, N., Sulaiman, M. H., Rainis, R., Redzuan, M. S ...
    Centre for Spatially Integrated Digital Humanities (CSIDH), Faculty of … , 2024
    2024
    Citations: 13
  • Aplikasi sistem maklumat geografi (GIS) dalam menganggar keluasan petempatan awal di tapak arkeologi Lembah Lenggong, Hulu Perak, Perak, Malaysia (Application of Geographic …
    A Ahmad, T Masron
    Jurnal PERSPEKTIF; Jurnal Sains Sosial dan Kemanusiaan 5 (1), http://www … , 2013
    2013
    Citations: 13
  • Deciphering Property Crime through OLS Regression: A Demographic Study
    Masron, T., Ahmad, A., Abdillah, K. K., Mohd Ali, A. S., Junaini, S. N ...
    International Social Science Journal 75 (256), 395-412 , 2025
    2025
    Citations: 12