Ramos-Diez, I.; Barilari, S.; Ljunggren, J.; Hellsten, S.; Ferreras-Alonso, N.
A Python GIS-Based Multi-Criteria Assessment to Identify Suitable Areas for Photovoltaic Energy Measures. ISPRS Int. J. Geo-Inf. 2026, 15, 157.
https://doi.org/10.3390/ijgi15040157
AMA Style
Ramos-Diez I, Barilari S, Ljunggren J, Hellsten S, Ferreras-Alonso N.
A Python GIS-Based Multi-Criteria Assessment to Identify Suitable Areas for Photovoltaic Energy Measures. ISPRS International Journal of Geo-Information. 2026; 15(4):157.
https://doi.org/10.3390/ijgi15040157
Chicago/Turabian Style
Ramos-Diez, Iván, Sara Barilari, Jonas Ljunggren, Sofie Hellsten, and Noelia Ferreras-Alonso.
2026. "A Python GIS-Based Multi-Criteria Assessment to Identify Suitable Areas for Photovoltaic Energy Measures" ISPRS International Journal of Geo-Information 15, no. 4: 157.
https://doi.org/10.3390/ijgi15040157
APA Style
Ramos-Diez, I., Barilari, S., Ljunggren, J., Hellsten, S., & Ferreras-Alonso, N.
(2026). A Python GIS-Based Multi-Criteria Assessment to Identify Suitable Areas for Photovoltaic Energy Measures. ISPRS International Journal of Geo-Information, 15(4), 157.
https://doi.org/10.3390/ijgi15040157