70
A. Hysa
de Souza FT, Koerner TC, Chlad R (2015) A data-based model for predicting wildfires in Chapada
das Mesas National Park in the State of Maranhão. Environ Earth Sci 74(4):3603–3611
Fabi A, Piovene G (2016) Durana, Albania: a field of possibilities. Architect Des 86(4):114–117
Goepel KD (2013) Implementing the analytic hierarchy process as a standard method for multicriteria decision making in corporate enterprises—a new AHP excel template with multiple inputs.
In: Proceedings of the international symposium on the analytic hierarchy process, Kuala Lumpur
Gorelick N, Hancher M, Dixon M, Ilyushchenko S, Thau D, Moore R (2017) Google earth engine:
planetary-scale geospatial analysis for everyone. Remote Sens Environ 202:18–27
Hansen MC, Potapov PV, Moore R, Hancher M, Turubanova SAA, Tyukavina A, Kommareddy A
(2013) High-resolution global maps of 21st-century forest cover change. Science 342(6160):850–
853
Hysa A, Ba¸ skaya FAT (2019) A GIS based method for indexing the broad-leaved forest surfaces
by their wildfire ignition probability and wildfire spreading capacity. Model Earth Syst Environ
5(1):71–84
Hysa A, Türer Ba¸ skaya FA (2018) Land cover data as environmentally sensitive decision-making
mediator in territorial and administrative reform. Cogent Environ Sci 4(1):1505326
Hysa A, Zeka E, Dervishi S (2017) Multi-criteria Inventory of Burned Areas in Landscape Scale;
Case of Albania. In: K-FORCE first symposium, Novi Sad
ICSU (2008) A science plan for integrated research on disaster risk: addressing the challenge of
natural and human-induced environmental hazards. International Council for Science, Paris
INSTAT (2014) A new classification scheme for the albanian urban-rural population: geographical
typology of eu based on network of cells. INSTAT Publishing, Tirana
ISDR (2009) Terminology on disaster risk reduction. UNISDR, Geneva
Jenks GF (1967) The data model concept in statistical mapping. Int Yearb Cartogr 7:186–190
Keating M (1998) The new regionalism in western europe, territorial restructuring and political
change. Edward Elgar Publishing Limited, Cheltenham
Martínez J, Vega-Garcia C, Chuvieco E (2009) Human-caused wildfire risk rating for prevention
planning in Spain. J Environ Manage 90:1241–1252
McMaster R, McMaster S (2002) A history of twentieth-century American academic cartography.
Cartography and Geographic Information Science 29(3):305–321
Mu E, Pereyra-Rojas M (2017) Understanding the analytic hierarchy process. In: Practical decision
making. Springer, Cham, pp 7–2
National Research Council (2004) Open access and the public domain in digital data and information for science. In: Proceedings of an international symposium. National Academies Press,
Washington
Nishani B (2017) Albania: statement made at the global platform for disaster risk reduction.
UNDRR, Cancun
Pekel JF, Cottam A, Gorelick N, Belward AS (2016) High-resolution mapping of global surface
water and its long-term changes. Nature 540(7633):418
MPVD, Plani Kombetar per Emergjencat Civile, Tirana: Ministria e Pushtetit Vendor dhe
Decentralizimit, 2004
Radeloff VC, Hammer RB, Stewart SI, Fried JF, Holcomb SS, Mckeefry JF (2005) The wildland–
urban interface in the United States. Ecol Appl 15(3):799–805
San-Miguel-Ayanz J, Moreno J, Camia A (2013) Analysis of large fires in European Mediterranean
landscapes: lessons learned and perspectives. For Ecol Manage 294:11–22
Stefanidis S, Stathis D (2013) Assessment of flood hazard based on natural and anthropogenic
factors using analytic hierarchy process (AHP). Nat Hazards 68(2):569–585
Theobald DM, Romme WH (2007) Expansion of the US wildland–urban interface. Landscape
Urban Plann 88:340–354
UNISDR (2015) Sendai framework for disaster risk reduction 2015–2030. UN, Geneva
Zambon I, Cerdà A, Cudlin P, Serra P, Pili S, Salvati L (2019) Road network and the spatial
distribution of wildfires in the Valencian community (1993–2015). Agriculture 9(5):100
A. Hysa
de Souza FT, Koerner TC, Chlad R (2015) A data-based model for predicting wildfires in Chapada
das Mesas National Park in the State of Maranhão. Environ Earth Sci 74(4):3603–3611
Fabi A, Piovene G (2016) Durana, Albania: a field of possibilities. Architect Des 86(4):114–117
Goepel KD (2013) Implementing the analytic hierarchy process as a standard method for multicriteria decision making in corporate enterprises—a new AHP excel template with multiple inputs.
In: Proceedings of the international symposium on the analytic hierarchy process, Kuala Lumpur
Gorelick N, Hancher M, Dixon M, Ilyushchenko S, Thau D, Moore R (2017) Google earth engine:
planetary-scale geospatial analysis for everyone. Remote Sens Environ 202:18–27
Hansen MC, Potapov PV, Moore R, Hancher M, Turubanova SAA, Tyukavina A, Kommareddy A
(2013) High-resolution global maps of 21st-century forest cover change. Science 342(6160):850–
853
Hysa A, Ba¸ skaya FAT (2019) A GIS based method for indexing the broad-leaved forest surfaces
by their wildfire ignition probability and wildfire spreading capacity. Model Earth Syst Environ
5(1):71–84
Hysa A, Türer Ba¸ skaya FA (2018) Land cover data as environmentally sensitive decision-making
mediator in territorial and administrative reform. Cogent Environ Sci 4(1):1505326
Hysa A, Zeka E, Dervishi S (2017) Multi-criteria Inventory of Burned Areas in Landscape Scale;
Case of Albania. In: K-FORCE first symposium, Novi Sad
ICSU (2008) A science plan for integrated research on disaster risk: addressing the challenge of
natural and human-induced environmental hazards. International Council for Science, Paris
INSTAT (2014) A new classification scheme for the albanian urban-rural population: geographical
typology of eu based on network of cells. INSTAT Publishing, Tirana
ISDR (2009) Terminology on disaster risk reduction. UNISDR, Geneva
Jenks GF (1967) The data model concept in statistical mapping. Int Yearb Cartogr 7:186–190
Keating M (1998) The new regionalism in western europe, territorial restructuring and political
change. Edward Elgar Publishing Limited, Cheltenham
Martínez J, Vega-Garcia C, Chuvieco E (2009) Human-caused wildfire risk rating for prevention
planning in Spain. J Environ Manage 90:1241–1252
McMaster R, McMaster S (2002) A history of twentieth-century American academic cartography.
Cartography and Geographic Information Science 29(3):305–321
Mu E, Pereyra-Rojas M (2017) Understanding the analytic hierarchy process. In: Practical decision
making. Springer, Cham, pp 7–2
National Research Council (2004) Open access and the public domain in digital data and information for science. In: Proceedings of an international symposium. National Academies Press,
Washington
Nishani B (2017) Albania: statement made at the global platform for disaster risk reduction.
UNDRR, Cancun
Pekel JF, Cottam A, Gorelick N, Belward AS (2016) High-resolution mapping of global surface
water and its long-term changes. Nature 540(7633):418
MPVD, Plani Kombetar per Emergjencat Civile, Tirana: Ministria e Pushtetit Vendor dhe
Decentralizimit, 2004
Radeloff VC, Hammer RB, Stewart SI, Fried JF, Holcomb SS, Mckeefry JF (2005) The wildland–
urban interface in the United States. Ecol Appl 15(3):799–805
San-Miguel-Ayanz J, Moreno J, Camia A (2013) Analysis of large fires in European Mediterranean
landscapes: lessons learned and perspectives. For Ecol Manage 294:11–22
Stefanidis S, Stathis D (2013) Assessment of flood hazard based on natural and anthropogenic
factors using analytic hierarchy process (AHP). Nat Hazards 68(2):569–585
Theobald DM, Romme WH (2007) Expansion of the US wildland–urban interface. Landscape
Urban Plann 88:340–354
UNISDR (2015) Sendai framework for disaster risk reduction 2015–2030. UN, Geneva
Zambon I, Cerdà A, Cudlin P, Serra P, Pili S, Salvati L (2019) Road network and the spatial
distribution of wildfires in the Valencian community (1993–2015). Agriculture 9(5):100