Publications

  1. Estacio, I., Lim, C., Onitsuka, K., & Hoshino, S. (2024).Predicting the future through observations of the past: Concretizing the role of Geosimulation for holistic geospatial knowledge. Geomatica, 76(2), 100012. https://doi.org/10.1016/j.geomat.2024.100012
  2. Jayakody, S., Estacio, I., Sianipar, C. P. M., Onitsuka, K., Basu, M.,& Hoshino, S. (2024). Maxent modeling for predicting the potential distribution of human-elephant conflict risk in Sri Lanka. Applied Geography,173, 103447. https://doi.org/10.1016/j.apgeog.2024.103447
  3. Estacio, I., Onitsuka, K., & Hoshino, S. (2024). Modeling the Feedback Loop Between Land Use Change and Non-spatial Actors: The ATLEA Framework. In X. Chen (Ed.), New Developments in Environmental Science and Engineering (pp. 101–116). https://doi.org/10.1007/978-981-97-5685-8_8
  4. Estacio, I., Román-Palacios, C., Hoover, J., Li, X., & Lim, C. (2024). Open-source automatic extraction of Urban Green Space: Application to assessing improvement in green space access. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, X-2–2024, 65–72. https://doi.org/10.5194/isprs-annals-X-2-2024-65-2024
  5. Estacio, I. , Sianipar, C. P. M., Onitsuka, K., & Hoshino, S.(2024). Impacts of socio-environmental policy mix on mitigating agricultural abandonment: An empirical agent-based modeling. Ecological Informatics, 80,102491. https://doi.org/10.1016/J.ECOINF.2024.102491
  6. Estacio, I., Sianipar, C. P. M., Onitsuka, K., Basu, M., & Hoshino, S. (2023). A statistical model of land use/cover change integrating logistic and linear models: An application to agricultural abandonment. International Journal of Applied Earth Observation and Geoinformation, 120,103339. https://doi.org/10.1016/j.jag.2023.103339
  7. Estacio, I., Hadfi, R., Blanco, A., Ito, T., & Babaan, J.(2022). Optimization of tree positioning to maximize walking in urban outdoor spaces: A modeling and simulation framework. Sustainable Cities and Society,86, 104105. https://doi.org/10.1016/J.SCS.2022.104105
  8. Estacio, I., Basu, M., Sianipar, C. P. M., Onitsuka, K., &Hoshino, S. (2022). Dynamics of land cover transitions and agriculturalab andonment in a mountainous agricultural landscape: Case of Ifugao rice terraces, Philippines. Landscape and Urban Planning, 222, 104394. https://doi.org/10.1016/J.LANDURBPLAN.2022.104394
  9. Estacio,I., & Blanco, A. (2021). Simulating Species Dominance in Mixed Mangrove Forests Considering Species-Specific Responses to Shading, Salinity, and Inundation Frequency. In M. S. Obaidat, T. Ören, &H. Szczerbicka (Eds.), Simulation and Modeling Methodologies, Technologies and Applications (pp. 167–183). Springer International Publishing. https://doi.org/10.1007/978-3-030-55867-3_9
  10. Estacio, I., Babaan, J., Pecson, N. J., Blanco, A. C., Escoto, J. E., & Alcantara, C. K. (2019). GIS-BASED MAPPINGOF LOCAL CLIMATE ZONES USING FUZZY LOGIC AND CELLULAR AUTOMATA. Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4/W19, 199–206. https://doi.org/10.5194/isprs-archives-XLII-4-W19-199-2019
  11. Enriquez, R., Rodriguez, M., Blanco, A. C., Estacio, I., & Depositario, L. R. (2019). SPATIAL AND TEMPORAL ANALYSIS OF MONTHLY WATER CONSUMPTION ANDLAND SURFACE TEMPERATURE (LST) DERIVED USING LANDSAT 8 AND MODIS DATA. Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4/W19, 193–198. https://doi.org/10.5194/isprs-archives-XLII-4-W19-193-2019
  12. Estacio, I., Quinton., K. R., Macatulad., E., & Salmo., S.(2019). A Species-specific Individual-based Simulation Model of Mixed Mangrove Forest Stands. Proceedings of the 9th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1:SIMULTECH, 153–164. https://doi.org/10.5220/0007925701530164
Remote Sensing framework incorporating Random ForestFramework for the agent-based model optimizing positioning of trees to maximize walkabilityStatistical model of Land Use/Land Cover