Open Access

Cartography and Analysis of the Urban Growth, Case Study: Inter-Communal Grouping of Batna, Algeria


Cite

Alharthi B., El-Damaty T.A., 2022. Study the Urban Expansion of Taif City Using Remote Sensing and GIS Techniques for Decision Support System. Advances in Remote Sensing 11(1): 1–15. DOI 10.4236/ars.2022.111001. AlharthiB. El-DamatyT.A. 2022 Study the Urban Expansion of Taif City Using Remote Sensing and GIS Techniques for Decision Support System Advances in Remote Sensing 11 1 1 15 10.4236/ars.2022.111001 Open DOISearch in Google Scholar

Amici V., Rocchini D., Filibeck G., Bacaro G., Santi E., Geri F., Landi S., Scopola A., Chiarucci A., 2015. Landscape structure effects on forest plant diversity at local scale: exploring the role of spatial extent. Ecological Complexity 21: 44–52. DOI 10.1016/j.ecocom.2014.12.004. AmiciV. RocchiniD. FilibeckG. BacaroG. SantiE. GeriF. LandiS. ScopolaA. ChiarucciA. 2015 Landscape structure effects on forest plant diversity at local scale: exploring the role of spatial extent Ecological Complexity 21 44 52 10.1016/j.ecocom.2014.12.004 Open DOISearch in Google Scholar

Anas A., Arnott R., Small K.A., 1998. Urban Spatial Structure. Journal of Economic Literature 36(3): 1426–1464. AnasA. ArnottR. SmallK.A. 1998 Urban Spatial Structure Journal of Economic Literature 36 3 1426 1464 Search in Google Scholar

Angel S., Sheppard S.C., Civco D.L., 2005. The dynamics of global urban expansion. The World Bank, Washington, DC. AngelS. SheppardS.C. CivcoD.L. 2005 The dynamics of global urban expansion The World Bank Washington, DC Search in Google Scholar

Aprillia Y., Pigawati B., 2018. Urban Sprawl Typology in Semarang City. Forum Geografi 32(2): 131–145. DOI 10.23917/forgeo.v31i2.6369. AprilliaY. PigawatiB. 2018 Urban Sprawl Typology in Semarang City Forum Geografi 32 2 131 145 10.23917/forgeo.v31i2.6369 Open DOISearch in Google Scholar

Bhatta B., Saraswati S., Bandyopadhyay D., 2010. Quantifying the degree-of-freedom, degree-of-sprawl, and degree-of-goodness of urban growth from remote sensing data. Applied Geography 30(1): 96–111. DOI 10.1016/j.apgeog.2009.08.001. BhattaB. SaraswatiS. BandyopadhyayD. 2010 Quantifying the degree-of-freedom, degree-of-sprawl, and degree-of-goodness of urban growth from remote sensing data Applied Geography 30 1 96 111 10.1016/j.apgeog.2009.08.001 Open DOISearch in Google Scholar

Bhattacharjee S., 2019. Measuring Urban Growth of Silchar Town Using Shannon Entropy Estimation. International Journal of Scientific Research and Reviews 8(1): 2016–2022. BhattacharjeeS. 2019 Measuring Urban Growth of Silchar Town Using Shannon Entropy Estimation International Journal of Scientific Research and Reviews 8 1 2016 2022 Search in Google Scholar

Brown S.R., 1995. Measuring the dimension of self-affine fractals: example of rough surfaces, In: Barton C.C., La Pointe P.R. (eds), Fractals in the Earth Sciences. Springer, Boston: 77–78. DOI 10.1007/978-1-4899-1397-5_4. BrownS.R. 1995 Measuring the dimension of self-affine fractals: example of rough surfaces In: BartonC.C. La PointeP.R. (eds), Fractals in the Earth Sciences Springer Boston 77 78 10.1007/978-1-4899-1397-5_4 Open DOISearch in Google Scholar

Chen Y., 2013. Fractal analytical approach of urban form based on spatial correlation function. Chaos, Solitions & Fractals 49: 47–60. DOI 10.1016/j.chaos.2013.02.006. ChenY. 2013 Fractal analytical approach of urban form based on spatial correlation function Chaos, Solitions & Fractals 49 47 60 10.1016/j.chaos.2013.02.006 Open DOISearch in Google Scholar

Chen Y., Wang J., Feng J., 2017. Understanding Fractal Dimension of Urban Form through Spatial Entropy. Entropy 19(11): 1–18. DOI 10.3390/e19110600. ChenY. WangJ. FengJ. 2017 Understanding Fractal Dimension of Urban Form through Spatial Entropy Entropy 19 11 1 18 10.3390/e19110600 Open DOISearch in Google Scholar

Congalton R.G., 1991. A review of assessing the accuracy of classifications of remotely sensed data. Remote Sensing of Environment 37(1): 35–46. CongaltonR.G. 1991 A review of assessing the accuracy of classifications of remotely sensed data Remote Sensing of Environment 37 1 35 46 Search in Google Scholar

De Oliveira M.A.B., Brandi A.C., dos Santos C.A., Botelho P.H.H., Cortez J.L.L. de Godoy M.F., Braile D.M., 2014. Comparison of fractal dimension and Shannon entropy in myocytes from rats treated with histidine-tryptophanglutamate and histidine-tryptophan cetoglutarate. Revista Brasileira de Cirurgia Cardiovascular 29(2): 156–62. DOI 10.5935/1678-9741.20140052. De OliveiraM.A.B. BrandiA.C. dos SantosC.A. BotelhoP.H.H. CortezJ.L.L. de GodoyM.F. BraileD.M. 2014 Comparison of fractal dimension and Shannon entropy in myocytes from rats treated with histidine-tryptophanglutamate and histidine-tryptophan cetoglutarate Revista Brasileira de Cirurgia Cardiovascular 29 2 156 62 10.5935/1678-9741.20140052 Open DOISearch in Google Scholar

Deka J., Tripathi O.P., Khan M.L., 2010. Urban growth trend analysis using Shannon Entropy approach – A case study in North-East India. International Journal of Geomatics and Geosciences 2(4): 1072–1078. DekaJ. TripathiO.P. KhanM.L. 2010 Urban growth trend analysis using Shannon Entropy approach – A case study in North-East India International Journal of Geomatics and Geosciences 2 4 1072 1078 Search in Google Scholar

DRC, 2017. Monograph of the Batna Region. Direction régionale du commerce, N02: 1–35. DRC 2017 Monograph of the Batna Region Direction régionale du commerce, N02: 1 35 Search in Google Scholar

El-Raey M., Nasr S., El-Hattab M., Frihy, O., 1995. Change detection of Rosetta promontory over the last forty years. International Journal of Remote Sensing 16: 825–834. El-RaeyM. NasrS. El-HattabM. FrihyO. 1995 Change detection of Rosetta promontory over the last forty years International Journal of Remote Sensing 16 825 834 Search in Google Scholar

Fan Y., Zhu X., He Z., Zhang S., Geo J., Chen F., Peng X., Li J., 2017. Urban expansion assessment in Huaihe river basin, China from 1998 to 2013 using remote sensing data. Journal of Sensors ID 9281201: 1–10. DOI 10.1155/2017/9281201. FanY. ZhuX. HeZ. ZhangS. GeoJ. ChenF. PengX. LiJ. 2017 Urban expansion assessment in Huaihe river basin, China from 1998 to 2013 using remote sensing data Journal of Sensors ID 9281201: 1 10 10.1155/2017/9281201 Open DOISearch in Google Scholar

Ge S., Nan J., Yang L., Bin H., 2018. Analysis of the dynamic urban expansion based on multi-sourced data from 1998 to 2013: a case study of Jiangsu province. Sustainability 10(10) 3467: 1–18. DOI 10.3390/su10103467. GeS. NanJ. YangL. BinH. 2018 Analysis of the dynamic urban expansion based on multi-sourced data from 1998 to 2013: a case study of Jiangsu province Sustainability 10 10 3467: 1 18 10.3390/su10103467 Open DOISearch in Google Scholar

Geri F., Amici V., Rocchini D., 2011. Spatially-based accuracy assessment of forestation prediction in a complex Mediterranean landscape. Applied Geography, 31(3): 881–890. DOI 10.1016/j.apgeog.2011.01.019. GeriF. AmiciV. RocchiniD. 2011 Spatially-based accuracy assessment of forestation prediction in a complex Mediterranean landscape Applied Geography 31 3 881 890 10.1016/j.apgeog.2011.01.019 Open DOISearch in Google Scholar

Ghosh P., Mukhopadhyay A., Chanda A., Mondal P., Akhand A., Mukherjee S., Nayak S.K., Ghosh S., Mitra D., Ghosh T., Hazra S., 2017. Application of cellular automata and Markov-chain model in geospatial environmental modelling – A review. Remote Sensing Applications: Society and Environment 5: 64–77. DOI 10.1016/j.rsase.2017.01.005. GhoshP. MukhopadhyayA. ChandaA. MondalP. AkhandA. MukherjeeS. NayakS.K. GhoshS. MitraD. GhoshT. HazraS. 2017 Application of cellular automata and Markov-chain model in geospatial environmental modelling – A review Remote Sensing Applications: Society and Environment 5 64 77 10.1016/j.rsase.2017.01.005 Open DOISearch in Google Scholar

Gyeltshen S., Tran T.V., Khunta W., Kannaujiya S., 2022. Assessing Spatiotemporal Built-up Dynamics in Chiang Mai City, Thailand using Entropy approach. Research Square: 1–22. DOI 10.21203/rs.3.rs-1179652/v1. GyeltshenS. TranT.V. KhuntaW. KannaujiyaS. 2022 Assessing Spatiotemporal Built-up Dynamics in Chiang Mai City, Thailand using Entropy approach Research Square 1 22 10.21203/rs.3.rs-1179652/v1 Open DOISearch in Google Scholar

Halimi M., Sedighifar Z., Mohammadi C., 2017. Analyzing spatiotemporal land use/cover dynamic using remote sensing imagery and GIS techniques case: Kan basin of Iran. GeoJournal 83: 1067–1077. DOI 10.1007/s10708-017-9819-2. HalimiM. SedighifarZ. MohammadiC. 2017 Analyzing spatiotemporal land use/cover dynamic using remote sensing imagery and GIS techniques case: Kan basin of Iran GeoJournal 83 1067 1077 10.1007/s10708-017-9819-2 Open DOISearch in Google Scholar

Hamad R., 2019. A remote sensing and GISbased analysis of urban sprawl in Soran District, Iraqi Kurdistan. SN Applied Sciences 2, 24. DOI 10.1007/s42452-019-1806-4. HamadR. 2019 A remote sensing and GISbased analysis of urban sprawl in Soran District, Iraqi Kurdistan SN Applied Sciences 2 24 10.1007/s42452-019-1806-4 Open DOISearch in Google Scholar

Hotar V., Salac P., 2014. Surface evaluation by estimation of fractal dimension and statistical tools. Scientific World Journal 2014, ID 435935: 1–10. DOI 10.1155/2014/435935. HotarV. SalacP. 2014 Surface evaluation by estimation of fractal dimension and statistical tools Scientific World Journal 2014, ID 435935: 1 10 10.1155/2014/435935 Open DOISearch in Google Scholar

Hu S., Tong L., Frazier A.E., Liu Y., 2015. Urban boundary extraction and sprawl analysis using Landsat images: a case study in Wuhan, China. Habitat International 47: 183–195. DOI 10.1016/j.habitatint.2015.01.017. HuS. TongL. FrazierA.E. LiuY. 2015 Urban boundary extraction and sprawl analysis using Landsat images: a case study in Wuhan, China Habitat International 47 183 195 10.1016/j.habitatint.2015.01.017 Open DOISearch in Google Scholar

Jain S., Siddiqui A., Tiwari P.S., Shashi M., 2016. Urban growth assessment using CA Markov model: a case study of Dehradun city. 9th International Geographic Union, Delhi: 1–9. JainS. SiddiquiA. TiwariP.S. ShashiM. 2016 Urban growth assessment using CA Markov model: a case study of Dehradun city 9th International Geographic Union, Delhi 1 9 Search in Google Scholar

Jat M.K., Garg P.K., Khare D., 2008. Modelling of urban growth using spatial analysis techniques: a case study of Ajmer city (India). International Journal of Remote Sensing 29(2): 543–567. DOI 10.1080/01431160701280983. JatM.K. GargP.K. KhareD. 2008 Modelling of urban growth using spatial analysis techniques: a case study of Ajmer city (India) International Journal of Remote Sensing 29 2 543 567 10.1080/01431160701280983 Open DOISearch in Google Scholar

Jensen J.R.E., 1983. Urban/suburban land-use analysis. American Society of Photogrammetry 2: 1571–1666. JensenJ.R.E. 1983 Urban/suburban land-use analysis American Society of Photogrammetry 2 1571 1666 Search in Google Scholar

Jimoh R., Afonja Y., Albert Ch., Amoo N., 2018. Spatio-temporal urban expansion analysis in a growing city of Oyo Town, Oyo state, Nigeria using remote sensing and geographic information system (GIS) tools. International Journal of Environment and Geoinformatics 5(2): 104–113. DOI 10.30897/ijegeo.354627. JimohR. AfonjaY. AlbertCh. AmooN. 2018 Spatio-temporal urban expansion analysis in a growing city of Oyo Town, Oyo state, Nigeria using remote sensing and geographic information system (GIS) tools International Journal of Environment and Geoinformatics 5 2 104 113 10.30897/ijegeo.354627 Open DOISearch in Google Scholar

Joshi P.K., Lele N., Agarwal S.P., 2006. Entropy as an indicator of fragmented landscape. Current Science 91(3): 276–278. JoshiP.K. LeleN. AgarwalS.P. 2006 Entropy as an indicator of fragmented landscape Current Science 91 3 276 278 Search in Google Scholar

Kaya H.S., Bölen F., 2011. Kentsel dokudaki değişimin fraktal geometri yöntemiyle incelenmesi. İTÜ Dergisi/A Mimarlık 10(1): 39–50. KayaH.S. BölenF. 2011 Kentsel dokudaki değişimin fraktal geometri yöntemiyle incelenmesi İTÜ Dergisi/A Mimarlık 10 1 39 50 Search in Google Scholar

Landis J.R., Koch G.G., 1977. The measurement of observer agreement for categorical data. Biometrics 33(1): 159–174. LandisJ.R. KochG.G. 1977 The measurement of observer agreement for categorical data Biometrics 33 1 159 174 Search in Google Scholar

Liu H., Lin X., Xie T., 2014. Urban sprawl and its evolution trend of fuzhou city, China. BioTechnology An Indian Journal 10(22): 13923–13934. LiuH. LinX. XieT. 2014 Urban sprawl and its evolution trend of fuzhou city, China BioTechnology An Indian Journal 10 22 13923 13934 Search in Google Scholar

Liu X., Li X., Shi X., Wu S., Liu T., 2008. Simulating complex urban development using kernel-based non-linear cellular automata. Ecological Modelling 211(1–2): 169–181. DOI 10.1016/j.ecolmodel.2007.08.024. LiuX. LiX. ShiX. WuS. LiuT. 2008 Simulating complex urban development using kernel-based non-linear cellular automata Ecological Modelling 211 1–2 169 181 10.1016/j.ecolmodel.2007.08.024 Open DOISearch in Google Scholar

Ma Y., Xu R., 2010. Remote sensing monitoring and driving force analysis of urban expansion in Guangzhou city, China. Habitat International 34(2): 228–235. DOI 10.1016/j.habitatint.2009.09.007. MaY. XuR. 2010 Remote sensing monitoring and driving force analysis of urban expansion in Guangzhou city, China Habitat International 34 2 228 235 10.1016/j.habitatint.2009.09.007 Open DOISearch in Google Scholar

Makhamreha Z., Almanasyeha N., 2011. Analyzing the state and pattern of urban growth and city planning in Amman using satellite images and GIS. European Journal of Social Sciences 24(2): 225–264. MakhamrehaZ. AlmanasyehaN. 2011 Analyzing the state and pattern of urban growth and city planning in Amman using satellite images and GIS European Journal of Social Sciences 24 2 225 264 Search in Google Scholar

Martin L.R.G., 1986. Change Detection in the Urban Fringe Employing Landsat Satellite Imagery. Plan Canada 26(7): 182–190. MartinL.R.G. 1986 Change Detection in the Urban Fringe Employing Landsat Satellite Imagery Plan Canada 26 7 182 190 Search in Google Scholar

Morency C., Chapleau R., 2003. Fractal geometry for the characterisation of urban-related states: Greater Montreal Case. Harmonic and Fractal Image Analysis – HarFA e-Journal: 30–34. Online: www.fch.vut.cz/lectures/imagesci/download_ejournal/09_C.Morency.pdf (accessed on 17 April 2018). MorencyC. ChapleauR. 2003 Fractal geometry for the characterisation of urban-related states: Greater Montreal Case Harmonic and Fractal Image Analysis – HarFA e-Journal 30 34 Online: www.fch.vut.cz/lectures/imagesci/download_ejournal/09_C.Morency.pdf (accessed on 17 April 2018). Search in Google Scholar

Mundhe N.N., Jaybhaye R.G., 2015. Measuring urban growth of Pune city using Shannon Entropy approach. The Journal of Geography and Geology. Photon 119: 290–302. MundheN.N. JaybhayeR.G. 2015 Measuring urban growth of Pune city using Shannon Entropy approach The Journal of Geography and Geology. Photon 119 290 302 Search in Google Scholar

Nasehi S., Namin A.I., Salehi E., 2018. Simulation of land cover changes in urban area using CA-MARKOV model (case study: zone 2 in Tehran, Iran). Modeling Earth Systems and Environment 5(1): 193–202. DOI 10.1007/s40808-018-0527-9. NasehiS. NaminA.I. SalehiE. 2018 Simulation of land cover changes in urban area using CA-MARKOV model (case study: zone 2 in Tehran, Iran) Modeling Earth Systems and Environment 5 1 193 202 10.1007/s40808-018-0527-9 Open DOISearch in Google Scholar

Nazarnia N., Hardinga C., Jaegera J.A.G., 2019. How suitable is Entropy as a measure of urban sprawl? Landscape and Urban Planning 184: 32–43. DOI 10.1016/j.landurbplan.2018.09.025. NazarniaN. HardingaC. JaegeraJ.A.G. 2019 How suitable is Entropy as a measure of urban sprawl? Landscape and Urban Planning 184 32 43 10.1016/j.landurbplan.2018.09.025 Open DOISearch in Google Scholar

Nelson A.C., 1999. Comparing states with and without growth management analysis based on indicators with policy implications. Land Use Policy 16(2): 121–127. DOI 10.1016/S0264-8377(99)00009-5. NelsonA.C. 1999 Comparing states with and without growth management analysis based on indicators with policy implications Land Use Policy 16 2 121 127 10.1016/S0264-8377(99)00009-5 Open DOISearch in Google Scholar

Nouri J., Gharagozlou A., Arjmandi R., Faryadi S., Adl M., 2014. Predicting urban land use changes using a CA-Markov model. Arabian Journal for Science and Engineering 39: 5565–5573. DOI 10.1007/s13369-014-1119-2. NouriJ. GharagozlouA. ArjmandiR. FaryadiS. AdlM. 2014 Predicting urban land use changes using a CA-Markov model Arabian Journal for Science and Engineering 39 5565 5573 10.1007/s13369-014-1119-2 Open DOISearch in Google Scholar

Ozturk D., 2017. Assessment of urban sprawl using Shannon's Entropy and fractal analysis: a case study of Atakum, Ilkadim and Canik (Samsun, Turkey). Journal of Environmental Engineering and Landscape Management 25(3): 264–276. DOI 10.3846/16486897.2016.1233881. OzturkD. 2017 Assessment of urban sprawl using Shannon's Entropy and fractal analysis: a case study of Atakum, Ilkadim and Canik (Samsun, Turkey) Journal of Environmental Engineering and Landscape Management 25 3 264 276 10.3846/16486897.2016.1233881 Open DOISearch in Google Scholar

Parker D.C., Manson S.M., Janssen M.A., Hoffman M.J., Deadman P., 2003. Multi-Agent Systems for the Simulation of Land-Use and Land-Cover Change: A Review. Annals of the Association of American Geographers, 93(2): 314–337. DOI 10.1111/1467-8306.9302004. ParkerD.C. MansonS.M. JanssenM.A. HoffmanM.J. DeadmanP. 2003 Multi-Agent Systems for the Simulation of Land-Use and Land-Cover Change: A Review Annals of the Association of American Geographers 93 2 314 337 10.1111/1467-8306.9302004 Open DOISearch in Google Scholar

PDAU [Plan directeur d’aménagement et d’urbanisme], 2012. Plan directeur d’aménagement et d’urbanisme. Online: https://www.mhuv.gov.dz/fr/pdau/ (accessed October 23, 2022). PDAU [Plan directeur d’aménagement et d’urbanisme] 2012 Plan directeur d’aménagement et d’urbanisme Online: https://www.mhuv.gov.dz/fr/pdau/ (accessed October 23, 2022). Search in Google Scholar

Rastogi K., Jain G.V., 2018. Urban sprawl analysis using Shannon's entropy and fractal analysis: A case study on Tiruchirappalli city, India. In: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XLII-5, 2018 ISPRS TC V Mid-term Symposium “Geospatial Technology – Pixel to People”, 20–23 November 2018, Dehradun, India. DOI 10.5194/isprs-archives-XLII-5-761-2018. RastogiK. JainG.V. 2018 Urban sprawl analysis using Shannon's entropy and fractal analysis: A case study on Tiruchirappalli city, India In: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XLII-5, 2018 ISPRS TC V Mid-term Symposium “Geospatial Technology – Pixel to People” 20–23 November 2018 Dehradun, India 10.5194/isprs-archives-XLII-5-761-2018 Open DOISearch in Google Scholar

Robbany I.F., Gharghi A., Traub K.P., 2019. Land Use Change Detection and Urban Sprawl Monitoring in Metropolitan Area of Jakarta (Jabodetabek) from 2001 to 2015. KnE Engineering 4(3): 257–268. DOI 10.18502/keg.v4i3.5862. RobbanyI.F. GharghiA. TraubK.P. 2019 Land Use Change Detection and Urban Sprawl Monitoring in Metropolitan Area of Jakarta (Jabodetabek) from 2001 to 2015 KnE Engineering 4 3 257 268 10.18502/keg.v4i3.5862 Open DOISearch in Google Scholar

Ruwashdi M.F., Khakani E.T., 2022. Simulating and predicting of urban expansion in Al Najaf city utilizing a Ca-Markov model. AIP Conference Proceedings 2398, 020058. DOI 10.1063/5.0094462. RuwashdiM.F. KhakaniE.T. 2022 Simulating and predicting of urban expansion in Al Najaf city utilizing a Ca-Markov model AIP Conference Proceedings 2398 020058 10.1063/5.0094462 Open DOISearch in Google Scholar

Serdaroğlu Sağ N., 2021. Assessment of urban development pattern and urban sprawl using Shannon's entropy: A case study of Konya (Turkey). Journal of Human Sciences 18(2): 252–265. DOI 10.14687/jhs.v18i2.6158. Serdaroğlu SağN. 2021 Assessment of urban development pattern and urban sprawl using Shannon's entropy: A case study of Konya (Turkey) Journal of Human Sciences 18 2 252 265 10.14687/jhs.v18i2.6158 Open DOISearch in Google Scholar

Shen G., 2002. Fractal dimension and fractal growth of urbanized areas. International Journal of Geographical Information Science 16(5): 419–437. DOI 10.1080/13658810210137013. ShenG. 2002 Fractal dimension and fractal growth of urbanized areas International Journal of Geographical Information Science 16 5 419 437 10.1080/13658810210137013 Open DOISearch in Google Scholar

Sridhar M.B., Sathyanathan R., Subramani R., Sudalaimathu K., 2020. Urban sprawl analysis using remote sensing data and its impact on surface water bodies: case study of Surat, India. IOP Conference Series: Materials Science and Engineering 912 062070. DOI 10.1088/1757-899X/912/6/062070. SridharM.B. SathyanathanR. SubramaniR. SudalaimathuK. 2020 Urban sprawl analysis using remote sensing data and its impact on surface water bodies: case study of Surat, India IOP Conference Series: Materials Science and Engineering 912 062070. 10.1088/1757-899X/912/6/062070 Open DOISearch in Google Scholar

Sudhira H.S., Ramachandra T.V., Jagadish K.S., 2004. Urban sprawl: metrics, dynamics and modeling using GIS. International Journal of Applied Earth Observation 5(1): 29–39. DOI 10.1016/j.jag.2003.08.002. SudhiraH.S. RamachandraT.V. JagadishK.S. 2004 Urban sprawl: metrics, dynamics and modeling using GIS International Journal of Applied Earth Observation 5 1 29 39 10.1016/j.jag.2003.08.002 Open DOISearch in Google Scholar

Sun H., Forsythe W., Waters N., 2007. Modeling urban land use change and urban sprawl: Calgary, Alberta, Canada. Networks and Spatial Economics 7(4): 353–376. DOI 10.1007/s11067-007-9030-y. SunH. ForsytheW. WatersN. 2007 Modeling urban land use change and urban sprawl: Calgary, Alberta, Canada Networks and Spatial Economics 7 4 353 376 10.1007/s11067-007-9030-y Open DOISearch in Google Scholar

Tannier C., Pumain D., 2005. Fractals in urban geography: a theoretical outline and an empirical example. Cybergeo 307: 1–22. DOI 10.4000/cybergeo.3275. TannierC. PumainD. 2005 Fractals in urban geography: a theoretical outline and an empirical example Cybergeo 307 1 22 10.4000/cybergeo.3275 Open DOISearch in Google Scholar

Terzi F., Kaya H.S., 2008. Analyzing Urban Sprawl Patterns through Fractal Geometry: The Case of Istanbul Metropolitan Area. Centre for Advanced Spatial Analysis Working Papers 144: 1–23. DOI 10.1080/13658810210137013. TerziF. KayaH.S. 2008 Analyzing Urban Sprawl Patterns through Fractal Geometry: The Case of Istanbul Metropolitan Area Centre for Advanced Spatial Analysis Working Papers 144 1 23 10.1080/13658810210137013 Open DOISearch in Google Scholar

Tewolde M.G., Cabral P., 2011. Urban sprawl analysis and modeling in Asmara, Eritrea. Remote Sensing 3(10): 2148–2165. DOI 10.3390/rs3102148. TewoldeM.G. CabralP. 2011 Urban sprawl analysis and modeling in Asmara, Eritrea Remote Sensing 3 10 2148 2165 10.3390/rs3102148 Open DOISearch in Google Scholar

Theiler J., 1990. Estimating fractal dimension. Journal of the Optical Society of America A 7(6): 1055–1073. DOI 10.1364/JOSAA.7.001055. TheilerJ. 1990 Estimating fractal dimension Journal of the Optical Society of America A 7 6 1055 1073 10.1364/JOSAA.7.001055 Open DOISearch in Google Scholar

Thomas I., Frankhauser P., 2013. Fractal dimensions of the built-up footprint: buildings versus roads. Fractal evidence from Antwerp (Belgium). Environment and Planning B: Urban Analytics and City Science 40(2): 310–329. DOI 10.1068/b38218. ThomasI. FrankhauserP. 2013 Fractal dimensions of the built-up footprint: buildings versus roads. Fractal evidence from Antwerp (Belgium) Environment and Planning B: Urban Analytics and City Science 40 2 310 329 10.1068/b38218 Open DOISearch in Google Scholar

Torrens P.M., Alberti M., 2000. Measuring sprawl. Centre for Advanced Spatial Analysis Working Papers 27: 1–34. TorrensP.M. AlbertiM. 2000 Measuring sprawl Centre for Advanced Spatial Analysis Working Papers 27 1 34 Search in Google Scholar

Vanum G., Hadgu K.M., 2012. GIS and remote sensing based urban sprawl detection and its implications on sustainable development. International Journal of Management, IT and Engineering 2(9): 452–478. VanumG. HadguK.M. 2012 GIS and remote sensing based urban sprawl detection and its implications on sustainable development International Journal of Management, IT and Engineering 2 9 452 478 Search in Google Scholar

Wu K., Ye X., Qi Z.F., Zhang H., 2013. Impacts of land use/land cover change and socioeconomic development on regional ecosystem services: The case of fast-growing Hangzhou metropolitan area, China. Cities 31: 276–284. DOI 10.1016/j.cities.2012.08.003. WuK. YeX. QiZ.F. ZhangH. 2013 Impacts of land use/land cover change and socioeconomic development on regional ecosystem services: The case of fast-growing Hangzhou metropolitan area, China Cities 31 276 284 10.1016/j.cities.2012.08.003 Open DOISearch in Google Scholar

Xiao J., Shen Y., Ge J., Tateishi R., Tang C., Liang Y., Huang Z., 2006. Evaluating urban expansion and land use change in Shijiazhuang, China, by using GIS and remote sensing. Landscape and Urban Planning 75(1–2): 69–80. DOI 10.1016/j.landurbplan.2004.12.005. XiaoJ. ShenY. GeJ. TateishiR. TangC. LiangY. HuangZ. 2006 Evaluating urban expansion and land use change in Shijiazhuang, China, by using GIS and remote sensing Landscape and Urban Planning 75 1–2 69 80 10.1016/j.landurbplan.2004.12.005 Open DOISearch in Google Scholar

Yeh A.G.-O., Li X., 2001. Measurement and monitoring of urban sprawl in a rapidly growing region using entropy. Photogrammetric Engineering and Remote Sensing 67(1): 83–90. YehA.G.-O. LiX. 2001 Measurement and monitoring of urban sprawl in a rapidly growing region using entropy Photogrammetric Engineering and Remote Sensing 67 1 83 90 Search in Google Scholar

Zhao Y., Xie D., Zhang X., Ma S., 2021. Integrating Spatial Markov Chains and Geographically Weighted Regression-Based Cellular Automata to Simulate Urban Agglomeration Growth: A Case Study of the Guangdong–Hong Kong–Macao Greater Bay Area. Land 10(6): 633. DOI 10.3390/land10060633pp1-19. ZhaoY. XieD. ZhangX. MaS. 2021 Integrating Spatial Markov Chains and Geographically Weighted Regression-Based Cellular Automata to Simulate Urban Agglomeration Growth: A Case Study of the Guangdong–Hong Kong–Macao Greater Bay Area Land 10 6 633 10.3390/land10060633pp1-19 Open DOISearch in Google Scholar

eISSN:
2081-6383
Language:
English
Publication timeframe:
4 times per year
Journal Subjects:
Geosciences, Geography