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

Fekkous, Nadia; Alkama, Djamel; Fekkous, Khaoula

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

Quaestiones Geographicae

Volume 42 (2023): Issue 1 (March 2023)

By:

Nadia Fekkous

, Djamel Alkama

and Khaoula Fekkous

Open Access

|Feb 2023

References

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.
Open DOI Search in Google Scholar Back to article
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.
Open DOI Search in Google Scholar Back to article
Anas A., Arnott R., Small K.A., 1998. Urban Spatial Structure. Journal of Economic Literature 36(3): 1426–1464.
Search in Google Scholar Back to article
Angel S., Sheppard S.C., Civco D.L., 2005. The dynamics of global urban expansion. The World Bank, Washington, DC.
Search in Google Scholar Back to article
Aprillia Y., Pigawati B., 2018. Urban Sprawl Typology in Semarang City. Forum Geografi 32(2): 131–145. DOI 10.23917/forgeo.v31i2.6369.
Open DOI Search in Google Scholar Back to article
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.
Open DOI Search in Google Scholar Back to article
Bhattacharjee S., 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 Back to article
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.
Open DOI Search in Google Scholar Back to article
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.
Open DOI Search in Google Scholar Back to article
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.
Open DOI Search in Google Scholar Back to article
Congalton R.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 Back to article
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.
Open DOI Search in Google Scholar Back to article
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.
Search in Google Scholar Back to article
DRC, 2017. Monograph of the Batna Region. Direction régionale du commerce, N02: 1–35.
Search in Google Scholar Back to article
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.
Search in Google Scholar Back to article
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.
Open DOI Search in Google Scholar Back to article
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.
Open DOI Search in Google Scholar Back to article
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.
Open DOI Search in Google Scholar Back to article
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.
Open DOI Search in Google Scholar Back to article
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.
Open DOI Search in Google Scholar Back to article
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.
Open DOI Search in Google Scholar Back to article
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.
Open DOI Search in Google Scholar Back to article
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.
Open DOI Search in Google Scholar Back to article
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.
Open DOI Search in Google Scholar Back to article
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.
Search in Google Scholar Back to article
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.
Open DOI Search in Google Scholar Back to article
Jensen J.R.E., 1983. Urban/suburban land-use analysis. American Society of Photogrammetry 2: 1571–1666.
Search in Google Scholar Back to article
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.
Open DOI Search in Google Scholar Back to article
Joshi P.K., Lele N., Agarwal S.P., 2006. Entropy as an indicator of fragmented landscape. Current Science 91(3): 276–278.
Search in Google Scholar Back to article
Kaya H.S., Bölen F., 2011. Kentsel dokudaki değişimin fraktal geometri yöntemiyle incelenmesi. İTÜ Dergisi/A Mimarlık 10(1): 39–50.
Search in Google Scholar Back to article
Landis J.R., Koch G.G., 1977. The measurement of observer agreement for categorical data. Biometrics 33(1): 159–174.
Search in Google Scholar Back to article
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.
Search in Google Scholar Back to article
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.
Open DOI Search in Google Scholar Back to article
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.
Open DOI Search in Google Scholar Back to article
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.
Search in Google Scholar Back to article
Martin L.R.G., 1986. Change Detection in the Urban Fringe Employing Landsat Satellite Imagery. Plan Canada 26(7): 182–190.
Search in Google Scholar Back to article
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).
Search in Google Scholar Back to article
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.
Search in Google Scholar Back to article
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.
Open DOI Search in Google Scholar Back to article
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.
Open DOI Search in Google Scholar Back to article
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.
Open DOI Search in Google Scholar Back to article
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.
Open DOI Search in Google Scholar Back to article
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.
Open DOI Search in Google Scholar Back to article
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.
Open DOI Search in Google Scholar Back to article
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 Back to article
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.
Open DOI Search in Google Scholar Back to article
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.
Open DOI Search in Google Scholar Back to article
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.
Open DOI Search in Google Scholar Back to article
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.
Open DOI Search in Google Scholar Back to article
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.
Open DOI Search in Google Scholar Back to article
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.
Open DOI Search in Google Scholar Back to article
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.
Open DOI Search in Google Scholar Back to article
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.
Open DOI Search in Google Scholar Back to article
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.
Open DOI Search in Google Scholar Back to article
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.
Open DOI Search in Google Scholar Back to article
Tewolde M.G., Cabral P., 2011. Urban sprawl analysis and modeling in Asmara, Eritrea. Remote Sensing 3(10): 2148–2165. DOI 10.3390/rs3102148.
Open DOI Search in Google Scholar Back to article
Theiler J., 1990. Estimating fractal dimension. Journal of the Optical Society of America A 7(6): 1055–1073. DOI 10.1364/JOSAA.7.001055.
Open DOI Search in Google Scholar Back to article
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.
Open DOI Search in Google Scholar Back to article
Torrens P.M., Alberti M., 2000. Measuring sprawl. Centre for Advanced Spatial Analysis Working Papers 27: 1–34.
Search in Google Scholar Back to article
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.
Search in Google Scholar Back to article
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.
Open DOI Search in Google Scholar Back to article
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.
Open DOI Search in Google Scholar Back to article
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.
Search in Google Scholar Back to article
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.
Open DOI Search in Google Scholar Back to article

DOI: https://doi.org/10.14746/quageo-2023-0009 | Journal eISSN: 2081-6383 | Journal ISSN: 2082-2103

Journal RSS Feed

Language: English

Page range: 123 - 139

Submitted on: Jul 16, 2022

Published on: Feb 6, 2023

Published by: Adam Mickiewicz University

In partnership with: Paradigm Publishing Services

Publication frequency: 4 times per year

Keywords:

fractal,

Related subjects:

© 2023 Nadia Fekkous, Djamel Alkama, Khaoula Fekkous, published by Adam Mickiewicz University
This work is licensed under the Creative Commons Attribution 4.0 License.

Previous article Volume 42 (2023): Issue 1 (March 2023)Next article