Vol. 40 No. 3 (2026): December 2026

Published: 2026-06-20
  • Open AccessResearch Article
    Pages 333-349

    Urbanisation Dynamics and Socio-Spatial Transformation: Evidence from Samarkand, Uzbekistan

    by Lutfullo Ibragimov, Aigul Sergeyeva, Gulmira Barotova, Mirlan Dyldaev, Normurod Latipov, Bekzod Мusayev
    Forum Geografi2026333-349DOI: 10.23917/forgeo.15827
    Abstract Urbanisation in post-Soviet Central Asia has accelerated significantly over recent decades, reshaping demographic structures, land use patterns and socio-economic development trajectories across the region. Considerable attention has been paid to the capital city of Tashkent, whereas the urbanisation dynamics of secondary cities and their surrounding regions remain insufficiently explored in the academic literature. This…Read More
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  • Open AccessResearch Article
    Pages 350-366

    Spatial Relationships Between Flash Drought and Rice Production in a Tropical River Basin Using Geographically Weighted Regression

    by Widjonarko Widjonarko, Hartuti Purnaweni, Maryono Maryono, Imam Buchori, Anang Wahyu Sejati, Alexander Zipf
    Forum Geografi2026350-366DOI: 10.23917/forgeo.14598
    Abstract Flash droughts have become a significant hydroclimatic hazard threatening agricultural production amid increasing climate variability. However, studies examining the spatial relationship between flash drought indicators and rice production in the humid tropics are limited. This research aims to assess the impacts of flash droughts on rice production in Bengawan Solo River Basin using a GIS-based geographically weighted…Read More
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  • Open AccessResearch Article
    Pages 367-390

    Rainfall Prediction Using Machine Learning in Nineveh Governorate, Iraq

    by Khaled Nafea, Ali Mahdi Jawad Al-Dujaili
    Forum Geografi2026367-390DOI: 10.23917/forgeo.16759
    Abstract Accurate rainfall forecasting is essential in arid and semi-arid regions such as Iraq due to increasing climate variability, water scarcity, and the growing need for sustainable water resource management. This study proposes an integrated spatiotemporal framework for rainfall forecasting in Nineveh Governorate, Iraq, combining non-parametric trend detection, multivariate correlation analysis, and ensemble machine learning.…Read More
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  • Open AccessResearch Article
    Pages 391-406

    Linking Weather Variability and Wildfires Across Tropical Ecoregions: Evidence from Sumatra, Indonesia

    by Asshaffa Naim, Andung Bayu Sekaranom, Sudrajat Sudrajat, Fitria Nucifera
    Forum Geografi2026391-406DOI: 10.23917/forgeo.15980
    Abstract Wildfires in tropical regions exhibit strong spatial variability that reflects differences in ecoregion characteristics and weather sensitivity. This study aims to examine the relationship between weather dynamics and wildfire distribution across six different ecoregion characteristics in Sumatra. MODIS Fire hotspot data were used to analyze wildfire distribution from 2016–2023, combined with ERA5 and SMAP soil moisture…Read More
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  • Open AccessResearch Article
    Pages 407-420

    High-Resolution Bathymetry of the Southern Pantar Strait Reveals the Deep Cold-Water Source of Extreme Upwelling off Alor Kecil, Indonesia

    by Anindya Wirasatriya, Gentio Harsono, Dwi Haryanti, R. Dwi Susanto, Lilik Maslukah, Yusuf Jati Wijaya, Ni Kadek Dita Cahyani, Rizki Taqwa Putranto, Riandi Teguh Widiyandono, Faisal Hamzah, Iis Triyulianti, Muhammad Helmi, Alexander Yosep Elake, Gede Iwan Setiabudi, Deirus Rizki Khair, Mohan Syafaat, Danar Judas Pratama, Yohanes Theo Medika, Darminto Darminto, Agung Setyo Sasongko, Azis Rifai, Dwiyoga Nugroho, Jahved Ferianto Maro
    Forum Geografi2026407-420DOI: 10.23917/forgeo.15332
    Abstract An extreme upwelling event (EUE) off Alor Kecil (central Pantar Strait, Indonesia) can cause sea-surface temperature (SST) to drop by >10 °C within hours, indicating rising cold water from the deep basin. The EUE occurs along the Mulut Kumbang Strait, a narrow channel 300 m wide and 900 m long. Understanding the water-mass origin of the EUE may provide insights into the mechanism of EUE generation. Prior eDNA analyses…Read More
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  • Open AccessResearch Article
    Pages 421-461

    Annual Spatiotemporal Dynamics of Surface Urban Heat Island Intensity in Makassar City, Indonesia (2013-2024): An Integrative Local Climate Zone Framework

    by Mirnayani Mirnayani, Purnama Budi Santosa, Ailian Chen
    Forum Geografi2026421-461DOI: 10.23917/forgeo.16328
    Abstract Urbanization is altering the local climate, but 2D models still fall short in representing the drivers of urban heat distribution because they don’t account for 3D factors. To address this limitation, this study utilizes a Local Climate Zone (LCZ) framework as a representative model of 3D urban morphology. A three-stage integration methodology that includes Fuzzy Logic, GIS-based rules, and spatial aggregation is utilized to…Read More
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  • Open AccessResearch Article
    Pages 462-488

    Assessing Household Climate Resilience Index to Climate Change Impacts in DKI Jakarta: A Robust Geographically Weighted PCA Approach

    by Marta Sundari, Kusman Sadik; Aji Hamim Wigena; Anwar Fitrianto, Rizaldi Boer, Zulkarnain Zulkarnain
    Forum Geografi2026462-488DOI: 10.23917/forgeo.15979
    Abstract Household climate resilience is spatially heterogeneous because households experience different combinations of exposure, sensitivity, and adaptive capacity across urban settings. This study developeds a local Household Climate Resilience Index (HCRI) for DKI Jakarta using Robust Geographically Weighted Principal Component Analysis based on the Minimum Covariance Determinant estimator (Robust GWPCA-MCD). The analysis used…Read More
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  • Open AccessReview Article
    Pages 489-510

    Can Machine Learning See Maladaptation? A Systematic Evidence Map of AI in Global South Agricultural Adaptation to Climate Change

    by Muhammad Musiyam, Choirul Amin, Vidya Nahdhiyatul Fikriyah, Arif Rohman, Munajat Tri Nugroho, Rudiyanto Rudiyanto, Jumadi Jumadi
    Forum Geografi2026489-510DOI: 10.23917/forgeo.19002
    Abstract Climate change threatens agriculture and rural livelihoods across the Global South, and machine learning (ML) is increasingly deployed to support climate adaptation. Nevertheless, the literature has not systematically mapped whether ML reaches beyond upstream hazard prediction into the downstream stages where adaptation outcomes and maladaptation become visible. This article develops a PRISMA-guided systematic evidence map…Read More
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