[1]
|
Abass, K., Adanu, S. K., & Agyemang, S. (2018). Peri-Urbanisation and Loss of Arable Land in Kumasi Metropolis in Three Decades: Evidence from Remote Sensing Image Analysis. Land Use Policy, 72, 470-479. https://doi.org/10.1016/j.landusepol.2018.01.013
|
[2]
|
Abass, K., Buor, D., Afriyie, K., Dumedah, G., Segbefi, A. Y., Guodaar, L. et al. (2020). Urban Sprawl and Green Space Depletion: Implications for Flood Incidence in Kumasi, Ghana. International Journal of Disaster Risk Reduction, 51, Article ID: 101915. https://doi.org/10.1016/j.ijdrr.2020.101915
|
[3]
|
Acheampong, M., Yu, Q., Enomah, L. D., Anchang, J., & Eduful, M. (2018). Land Use/Cover Change in Ghana’s Oil City: Assessing the Impact of Neoliberal Economic Policies and Implications for Sustainable Development Goal Number One—A Remote Sensing and GIS Approach. Land Use Policy, 73, 373-384. https://doi.org/10.1016/j.landusepol.2018.02.019
|
[4]
|
Addae, B., & Oppelt, N. (2019). Land-Use/Land-Cover Change Analysis and Urban Growth Modelling in the Greater Accra Metropolitan Area (GAMA), Ghana. Urban Science, 3, Article No. 26. https://doi.org/10.3390/urbansci3010026
|
[5]
|
Adeyanju, S., O’connor, A., Addoah, T., Bayala, E., Djoudi, H., Moombe, K. et al. (2021). Learning from Community-Based Natural Resource Management (CBNRM) in Ghana and Zambia: Lessons for Integrated Landscape Approaches. International Forestry Review, 23, 273-297. https://doi.org/10.1505/146554821833992776
|
[6]
|
Afele, J. T., Nimo, E., Lawal, B., & Afele, I. K. (2022). Deforestation in Ghana: Evidence From Selected Forest Reserves Across Six Ecological Zones. International Journal of Forest, Animal And Fisheries Research, 6, 7-17. https://doi.org/10.22161/ijfaf.6.1.2
|
[7]
|
Agbosu, L. K. (1983). The Origins of Forest Law and Policy in Ghana during the Colonial Period. Journal of African Law, 27, 169-187. http://journals.cambridge.org/abstract_S0021855300013218 https://doi.org/10.1017/S0021855300013218
|
[8]
|
Agyemang, F. S., Silva, E., & Poku-Boansi, M. (2019). Understanding the Urban Spatial Structure of Sub-Saharan African Cities Using the Case of Urban Development Patterns of a Ghanaian City-Region. Habitat International, 85, 21-33. https://doi.org/10.1016/j.habitatint.2019.02.001
|
[9]
|
Ahmad, M., Jiang, P., Majeed, A., Umar, M., Khan, Z., & Muhammad, S. (2020). The Dynamic Impact of Natural Resources, Technological Innovations and Economic Growth on Ecological Footprint: An Advanced Panel Data Estimation. Resources Policy, 69, Article ID: 101817. https://doi.org/10.1016/j.resourpol.2020.101817
|
[10]
|
Ahmed, Z., Wang, Z., Mahmood, F., Hafeez, M., & Ali, N. (2019). Does Globalization Increase the Ecological Footprint? Empirical Evidence from Malaysia. Environmental Science and Pollution Research, 26, 18565-18582. https://doi.org/10.1007/s11356-019-05224-9
|
[11]
|
Akoto, O., Adopler, A., Tepkor, H. E., & Opoku, F. (2021). A Comprehensive Evaluation of Surface Water Quality and Potential Health Risk Assessments of Sisa River, Kumasi. Groundwater for Sustainable Development, 15, Article ID: 100654. https://doi.org/10.1016/j.gsd.2021.100654
|
[12]
|
Akubia, J. E., & Bruns, A. (2019). Unravelling the Frontiers of Urban Growth: Spatio-Temporal Dynamics of Land-Use Change and Urban Expansion in Greater Accra Metropolitan Area, Ghana. Land, 8, Article No. 131. https://doi.org/10.3390/land8090131
|
[13]
|
Alipbeki, O., Alipbekova, C., Sterenharz, A., Toleubekova, Z., Aliyev, M., Mineyev, N., & Amangaliyev, K. (2020). A Spatiotemporal Assessment of Land Use and Land Cover Changes in Peri-Urban Areas: A Case Study of Arshaly District, Kazakhstan. Sustainability, 12, Article No. 1556. https://doi.org/10.3390/su12041556
|
[14]
|
Amit, Y., & Geman, D. (1997). Shape Quantization and Recognition with Randomized Trees. Neural Computation, 9, 1545-1588. https://doi.org/10.1162/neco.1997.9.7.1545
|
[15]
|
Amuquandoh, F. E., Boakye, K. A., & Mensah, E. A. (2011). Ecotourism Experiences of Intemational Visitors to the Owabi Wildlife Sanctuary, Ghana. Ghana Journal of Geography, 3, 250-284.
|
[16]
|
Antwi-Agyei, P., Kpenekuu, F., Hogarh, J. N., Obiri-Danso, K., Abaidoo, R. C., Jeppesen, E., & Andersen, M. N. (2019). Land Use and Land Cover Changes in the Owabi Reservoir Catchment, Ghana: Implications for Livelihoods and Management. Geosciences, 9, Article No. 286. https://doi.org/10.3390/geosciences9070286
|
[17]
|
Appiah, D. O., Asante, F., & Nketiah, B. (2019). Perspectives on Agricultural Land Use Conversion and Food Security in Rural Ghana. Sci, 1, Article No. 14. https://doi.org/10.3390/sci1010014.v1
|
[18]
|
Arsanjani, J. J., Helbich, M., Kainz, W., & Boloorani, A. D. (2013). Integration of Logistic Regression, Markov Chain and Cellular Automata Models to Simulate Urban Expansion. International Journal of Applied Earth Observation and Geoinformation, 21, 265-275. https://doi.org/10.1016/j.jag.2011.12.014
|
[19]
|
Asabere, S. B. (2020). Urbanisation, Land Use and Soil Resource: Spatio-Temporal Analyses of Trends and Environmental Effects in Two Metropolitan Regions of Ghana (West Africa). Ph.D. Thesis, Georg-August University of Goettingen.
|
[20]
|
Ayambire, R. A., Amponsah, O., Peprah, C., & Takyi, S. A. (2019). A Review of Practices for Sustaining Urban and Peri-Urban Agriculture: Implications for Land Use Planning in Rapidly Urbanising Ghanaian Cities. Land Use Policy, 84, 260-277. https://doi.org/10.1016/j.landusepol.2019.03.004
|
[21]
|
Ayesu, S., Barnes, V. R., & Agbenyega, O. (2021). Threats of Changes in Land-Use and Drivers on Owabi and Barekese Watershed Forests in Ghana. International Journal of Applied Geospatial Research (IJAGR), 12, 1-18. https://doi.org/10.4018/IJAGR.2021070101
|
[22]
|
Bawa, S. A., Antwi-Agyei, P., & Domfeh, M. K. (2022). Impact of the Ban on Illegal Mining Activities on Raw Water Quality: A Case-Study of Konongo Water Treatment Plant, Ashanti Region of Ghana. Journal of Sustainable Mining, 21, Article 1. https://doi.org/10.46873/2300-3960.1349
|
[23]
|
Behera, M. D., Borate, S. N., Panda, S. N., Behera, P. R., & Roy, P. S. (2012). Modelling and Analyzing the Watershed Dynamics Using Cellular Automata (CA)-Markov Model—A Geo-Information Based Approach. Journal of Earth System Science, 121, 1011-1024. https://doi.org/10.1007/s12040-012-0207-5
|
[24]
|
Benneh, G., & Agyepong, G. T. (1990). Land Degradation in Ghana. C Food Production and Rural Development Division, Commonwealth Secretariat, University of Ghana.
|
[25]
|
Boateng, F. G. (2020). Building Collapse in Cities in Ghana: A Case for a Historical-Institutional Grounding for Building Risks in Developing Countries. International Journal of Disaster Risk Reduction, 50, Article ID: 101912. https://doi.org/10.1016/j.ijdrr.2020.101912
|
[26]
|
Breiman, L. (2001). Random Forests. Machine Learning, 45, 5-32. https://doi.org/10.1023/A:1010933404324
|
[27]
|
Buo, I., Sagris, V., Burdun, I., & Uuemaa, E. (2021). Estimating the Expansion of Urban Areas and Urban Heat Islands (UHI) in Ghana: A Case Study. Natural Hazards, 105, 1299-1321. https://doi.org/10.1007/s11069-020-04355-4
|
[28]
|
Caraka, R. E., Chen, R. C., Toharudin, T., Pardamean, B., Yasin, H., & Wu, S. H. (2019). Prediction of Status Particulate Matter 2.5 Using State Markov Chain Stochastic Process and HYBRID VAR-NN-PSO. IEEE Access, 7, 161654-161665. https://doi.org/10.1109/ACCESS.2019.2950439
|
[29]
|
Chang, X., Zhang, F., Cong, K., & Liu, X. (2021). Scenario Simulation of Land Use and Land Cover Change in Mining Area. Scientific Reports, 11, Article No. 12910. https://doi.org/10.1038/s41598-021-92299-5
|
[30]
|
Clerici, N., Cote-Navarro, F., Escobedo, F. J., Rubiano, K., & Villegas, J. C. (2019). Spatio-Temporal and Cumulative Effects of Land Use-Land Cover and Climate Change on Two Ecosystem Services in the Colombian Andes. Science of the Total Environment, 685, 1181-1192. https://doi.org/10.1016/j.scitotenv.2019.06.275
|
[31]
|
Cobbinah, P. B., Erdiaw-Kwasie, M. O., & Amoateng, P. (2015). Africa’s Urbanisation: Implications for Sustainable Development. Cities, 47, 62-72. https://doi.org/10.1016/j.cities.2015.03.013
|
[32]
|
Cobbinah, P. B., Gaisie, E., Oppong-Yeboah, N. Y., & Anim, D. O. (2020). Kumasi: Towards a Sustainable and Resilient Cityscape. Cities, 97, Article ID: 102567. https://doi.org/10.1016/j.cities.2019.102567
|
[33]
|
Cooper, F. (2019). Africa since 1940: The Past of the Present (Vol. 13). Cambridge University Press. https://doi.org/10.1017/9781108672214
|
[34]
|
Das, S., & Sarkar, R. (2019). Predicting the Land Use and Land Cover Change Using Markov Model: A Catchment Level Analysis of the Bhagirathi-Hugli River. Spatial Information Research, 27, 439-452. https://doi.org/10.1007/s41324-019-00251-7
|
[35]
|
Davis, A. L., & Philips, T. K. (2005). Effect of Deforestation on a Southwest Ghana Dung Beetle Assemblage (Coleoptera: Scarabaeidae) at the Periphery of Ankasa Conservation Area. Environmental Entomology, 34, 1081-1088. https://doi.org/10.1093/ee/34.5.1081
|
[36]
|
de Oliveira Barros, K., Ribeiro, C. A. A. S., Marcatti, G. E., Lorenzon, A. S., de Castro, N. L. M., Domingues, G. F., de Carvalho, J. R., & Dos Santos, A. R. (2018). Markov Chains and Cellular Automata to Predict Environments Subject to Desertification. Journal of Environmental Management, 225, 160-167. https://doi.org/10.1016/j.jenvman.2018.07.064
|
[37]
|
Dei, G. J. S. (1992). A Forest beyond the Trees: Tree Cutting in Rural Ghana. Human Ecology, 20, 57-88. https://doi.org/10.1007/BF00889696
|
[38]
|
Doe, B., Amoako, C., & Adamtey, R. (2022). Spatial Expansion and Patterns of Land Use/Land Cover Changes around Accra, Ghana—Emerging Insights from Awutu Senya East Municipal Area. Land Use Policy, 112, Article ID: 105796. https://doi.org/10.1016/j.landusepol.2021.105796
|
[39]
|
Estoque, R. C., Ooba, M., Togawa, T., Hijioka, Y., & Murayama, Y. (2021). Monitoring Global Land-Use Efficiency in the Context of the UN 2030 Agenda for Sustainable Development. Habitat International, 115, Article ID: 102403. https://doi.org/10.1016/j.habitatint.2021.102403
|
[40]
|
Fitawok, M. B., Derudder, B., Minale, A. S., Van Passel, S., Adgo, E., & Nyssen, J. (2020). Modeling the Impact of Urbanization on Land-Use Change in Bahir Dar City, Ethiopia: An Integrated Cellular Automata-Markov Chain Approach. Land, 9, Article No. 115. https://doi.org/10.3390/land9040115
|
[41]
|
Foody, G. M. (2002). Status of Land Cover Classification Accuracy Assessment. Remote Sensing of Environment, 80, 185-201. https://doi.org/10.1016/S0034-4257(01)00295-4
|
[42]
|
Forestry Commission (2014). National REDD+ R-PP Implementation Mid-Term Progress Report and Request for Additional Funding. Ghana Forestry Commission.
|
[43]
|
Forkuo, E. K., Biney, E., Harris, E., & Quaye-Ballard, J. A. (2021). The Impact of Land Use and Land Cover Changes on Socioeconomic Factors and Livelihood in the Atwima Nwabiagya District of the Ashanti Region, Ghana. Environmental Challenges, 5, Article ID: 100226. https://doi.org/10.1016/j.envc.2021.100226
|
[44]
|
Forkuor, G., & Cofie, O. (2011). Dynamics of Land-Use and Land-Cover Change in Freetown, Sierra Leone and Its Effects on Urban and Peri-Urban Agriculture—A Remote Sensing Approach. International Journal of Remote Sensing, 32, 1017-1037. https://doi.org/10.1080/01431160903505302
|
[45]
|
Förster, T., & Ammann, C. (2018). African Cities and the Development Conundrum: Actors and Agency in the Urban Grey Zone. In C. Ammann, & T. Förster (Eds.), African Cities and the Development Conundrum (pp. 3-25). Brill Nijhoff. https://doi.org/10.4000/poldev.2621
|
[46]
|
Frimpong Addo, Y. (2019). Report on the Committee on Environment, Science and Technology on the 2020 Programme Based Budget Estimates of the Ministry of Environment, Science, Technology and Innovation. Parliament of Ghana.
|
[47]
|
Frimpong, B. F. (2015). Land Use and Cover Changes in the Mampong Municipality of the Ashanti Region. MSc. Thesis, Kwame Nkrumah University of Science and Technology.
|
[48]
|
Frimpong, B. F., & Molkenthin, F. (2021). Tracking Urban Expansion Using Random Forests for the Classification of Landsat Imagery (1986-2015) and Predicting Urban/Built-Up Areas for 2025: A Study of the Kumasi Metropolis, Ghana. Land, 10, Article No. 44. https://doi.org/10.3390/land10010044
|
[49]
|
Ghalehteimouri, K. J., Shamsoddini, A., Mousavi, M. N., Ros, F. B. C., & Khedmatzadeh, A. (2022). Predicting Spatial and Decadal of Land Use and Land Cover Change Using Integrated Cellular Automata Markov Chain Model Based Scenarios (2019-2049) Zarriné-Rūd River Basin in Iran. Environmental Challenges, 6, Article ID: 100399. https://doi.org/10.1016/j.envc.2021.100399
|
[50]
|
Ghana Statistical Service (GSS) (2022). Ghana 2021 Population and Housing Census General Report Volume 3E: Economic Activity. Ghana Statistical Service.
|
[51]
|
Giri, C. P. (2012). Remote Sensing of Land Use and Land Cover: Principles and Applications. CRC Press.
|
[52]
|
Gough, K. V., & Yankson, P. W. K. (2000). Land Markets in African Cities: The Case of Peri-urban Accra, Ghana. Journal of Urban Studies, 37, 2485-2500. https://doi.org/10.1080/00420980020080651
|
[53]
|
GSS (2013). 2010 Population and Housing Census National Analytical Report (pp. 1-430). Ghana Statistical Service.
|
[54]
|
Halefom, A., Teshome, A., Sisay, E., & Ahmad, I. (2018). Dynamics of Land Use and Land Cover Change Using Remote Sensing and GIS: A Case Study of Debre Tabor Town, South Gondar, Ethiopia. Journal of Geographic Information System, 10, 165-174. https://doi.org/10.4236/jgis.2018.102008
|
[55]
|
Hasan, M. E., Nath, B., Sarker, A. R., Wang, Z., Zhang, L., Yang, X. et al. (2020). Applying Multi-Temporal Landsat Satellite Data and Markov-Cellular Automata to Predict Forest Cover Change and Forest Degradation of Sundarban Reserve Forest, Bangladesh. Forests, 11, Article No. 1016. https://doi.org/10.3390/f11091016
|
[56]
|
Hua, A. K. (2017). Application of CA-Markov Model and Land Use/land Cover Changes in Malacca River Watershed, Malaysia. Applied Ecology and Environmental Research, 15, 605-622. https://doi.org/10.15666/aeer/1504_605622
|
[57]
|
IIED—International Institute for Environment and Development (1987). Our Common Future: A Readers Guide. Earthscan.
|
[58]
|
Inglada, J., Arias, M., Tardy, B., Hagolle, O., Valero, S., Morin, D. et al. (2015). Assessment of an Operational System for Crop Type Map Production Using High Temporal and Spatial Resolution Satellite Optical Imagery. Remote Sensing, 7, 12356-12379. https://doi.org/10.3390/rs70912356
|
[59]
|
Kaul, H. A., & Sopan, I. (2012). Land Use Land Cover Classification and Change Detection Using High Resolution Temporal Satellite Data. Journal of Environment, 1, 146-152.
|
[60]
|
Korah, P. I., Matthews, T., & Tomerini, D. (2019). Characterising Spatial and Temporal Patterns of Urban Evolution in Sub-Saharan Africa: The Case of Accra, Ghana. Land Use Policy, 87, Article ID: 104049. https://doi.org/10.1016/j.landusepol.2019.104049
|
[61]
|
Koranteng, A. (2017). Competitive Land Use/Cover of Kumasi and its Environs Based on Satellite Imagery Studies. International Conference on Applied Science and Technology Conference Proceedings, 1, 208-219.
|
[62]
|
Koranteng, A., & Zawila-Niedzwiecki, T. (2015). Modelling Forest Loss and Other Land Use Change Dynamics in Ashanti Region of Ghana. Folia Forestalia Polonica, Series A, 7, 96-111. https://doi.org/10.1515/ffp-2015-0010
|
[63]
|
Koranteng, A., Adu-Poku, I., Donkor, E., & Zawiła-Niedźwiecki, T. (2020). Geospatial Assessment of Land Use and Land Cover Dynamics in the Mid-Zone of Ghana. Folia Forestalia Polonica, Series A, 62, 288-305. https://doi.org/10.2478/ffp-2020-0028
|
[64]
|
Koranteng, A., Donkor, E., Zawila-Niedzwiecki, T., & Kombat, D. (2018). Synergies of Satellite Images for Forest Loss and Other Land Use Study in Ghana. International Conference on Applied Science and Technology Conference Proceedings, 4, 211-228.
|
[65]
|
Koranteng, A., Zawila-Niedzwiecki, T., & Adu-Poku, I. (2016). Remote Sensing Study of Land Use/Cover Change in West Africa. Journal of Environment Protection and Sustainable Development, 2, 17-31.
|
[66]
|
Koranteng, A., Zawiła-Niedźwiecki, T., & Kombat, D. (2015). Land Use Dynamics in Rural-Urban Environs: A Study of the Kumasi Metropolis and Its Adjoining Districts-Ghana. Teledetekcja Środowiska, 52, 67-85.
|
[67]
|
Kushwaha, K., Singh, M. M., Singh, S. K., & Patel, A. (2021). Urban Growth Modeling Using Earth Observation Datasets, Cellular Automata-Markov Chain Model and Urban Metrics to Measure Urban Footprints. Remote Sensing Applications: Society and Environment, 22, Article ID: 100479. https://doi.org/10.1016/j.rsase.2021.100479
|
[68]
|
Kyere-Boateng, R., & Marek, M. V. (2021). Analysis of the Social-Ecological Causes of Deforestation and Forest Degradation in Ghana: Application of the DPSIR Framework. Forests, 12, Article No. 409. https://doi.org/10.3390/f12040409
|
[69]
|
Lambin, E. F., & Meyfroidt, P. (2010). Land Use Transitions: Socio-Ecological Feedback versus Socio-Economic Change. Land use policy, 27, 108-118. https://doi.org/10.1016/j.landusepol.2009.09.003
|
[70]
|
Liang, W., & Yang, M. (2019). Urbanization, Economic Growth and Environmental Pollution: Evidence from China. Sustainable Computing: Informatics and Systems, 21, 1-9. https://doi.org/10.1016/j.suscom.2018.11.007
|
[71]
|
Liu, S., Wang, Y., Zhang, G. J., Wei, L., Wang, B., & Yu, L. (2022). Contrasting Influences of Biogeophysical and Biogeochemical Impacts of Historical Land Use on Global Economic Inequality. Nature Communications, 13, Article No. 2479. https://doi.org/10.1038/s41467-022-30145-6
|
[72]
|
Magidi, J., & Ahmed, F. (2019). Assessing Urban Sprawl Using Remote Sensing and Landscape Metrics: A Case Study of City of Tshwane, South Africa (1984-2015). The Egyptian Journal of Remote Sensing and Space Science, 22, 335-346. https://doi.org/10.1016/j.ejrs.2018.07.003
|
[73]
|
Mahmud, A., & Achide, A. S. (2012). Analysis of Land Use/Land Cover Changes to Monitor Urban Sprawl in Keffi-Nigeria. Environmental Research Journal, 6, 129-134.
|
[74]
|
Mansour, S., Al-Belushi, M., & Al-Awadhi, T. (2020). Monitoring Land Use and Land Cover Changes in the Mountainous Cities of Oman Using GIS and CA-Markov Modelling Techniques. Land Use Policy, 91, Article ID: 104414. https://doi.org/10.1016/j.landusepol.2019.104414
|
[75]
|
Ministry of Lands Forestry and Mines (2012). Ghana National Wildfire Policy, Ghana.
|
[76]
|
Mishra, V. N., & Rai, P. K. (2016). A Remote Sensing Aided Multi-Layer Perceptron-Markov Chain Analysis for Land Use and Land Cover Change Prediction in Patna District (Bihar), India. Arabian Journal of Geosciences, 9, Article No. 249. https://doi.org/10.1007/s12517-015-2138-3
|
[77]
|
Mondal, M. S., Sharma, N., Garg, P. K., & Kappas, M. (2016). Statistical Independence Test and Validation of CA Markov Land Use Land Cover (LULC) Prediction Results. The Egyptian Journal of Remote Sensing and Space Science, 19, 259-272. https://doi.org/10.1016/j.ejrs.2016.08.001
|
[78]
|
Monserud, R. A., & Leamans, R. (1992). Comparing Global Vegetation Maps with the Kappa Statistic. Ecological Modelling, 62, 275-293. https://doi.org/10.1016/0304-3800(92)90003-W
|
[79]
|
Motlagh, Z. K., Lotfi, A., Pourmanafi, S., Ahmadizadeh, S., & Soffianian, A. (2020). Spatial Modeling of Land-Use Change in a Rapidly Urbanizing Landscape in Central Iran: Integration of Remote Sensing, CA-Markov, and Landscape Metrics. Environmental Monitoring and Assessment, 192, Article No. 695. https://doi.org/10.1007/s10661-020-08647-x
|
[80]
|
Muhati, G. L., Olago, D., & Olaka, L. (2018). Land Use and Land Cover Changes in a Sub-Humid Montane Forest in an Arid Setting: A Case Study of the Marsabit Forest Reserve in Northern Kenya. Global Ecology and Conservation, 16, e00512. https://doi.org/10.1016/j.gecco.2018.e00512
|
[81]
|
Munthali, M. G., Mustak, S., Adeola, A., Botai, J., Singh, S. K., & Davis, N. (2020). Modelling Land Use and Land Cover Dynamics of Dedza District of Malawi Using Hybrid Cellular Automata and Markov Model. Remote Sensing Applications: Society and Environment, 17, Article ID: 100276. https://doi.org/10.1016/j.rsase.2019.100276
|
[82]
|
Nemeth, C., & Fearnhead, P. (2021). Stochastic Gradient Markov Chain Monte Carlo. Journal of the American Statistical Association, 116, 433-450. https://doi.org/10.1080/01621459.2020.1847120
|
[83]
|
Noszczyk, T. (2019). A Review of Approaches to Land Use Changes Modeling. Human and Ecological Risk Assessment: An International Journal, 25, 1377-1405. https://doi.org/10.1080/10807039.2018.1468994
|
[84]
|
Nti, T. (2020). Illegal Mining and Sustainability Performance: Evidence from Ashanti Region, Ghana. International Journal of Scientific Research and Management (IJSRM), 8, 1661-1676. https://doi.org/10.18535/ijsrm/v8i03.em03
|
[85]
|
Nugraheni, C. E., & Natali, V. (2018). Cellular Automata Based Entrepreneurial Growth Model. Advanced Science Letters, 24, 9410-9413. https://doi.org/10.1166/asl.2018.12286
|
[86]
|
Nyamekye, C., Ofosu, S. A., Arthur, R., Osei, G., Appiah, L. B., Kwofie, S. et al. (2021). Evaluating the Spatial and Temporal Variations of Aquatic Weeds (Biomass) on Lower Volta River Using Multi-Sensor Landsat Images and Machine Learning. Heliyon, 7, e07080. https://doi.org/10.1016/j.heliyon.2021.e07080
|
[87]
|
Obeng-Gyasi, E. (2022). Sources of Lead Exposure in West Africa. Sci, 4, Article No. 33. https://doi.org/10.3390/sci4030033
|
[88]
|
Obeng-Odoom, F. (2014). Sustainable Urban Development in Africa? The Case of Urban Transport in Sekondi-Takoradi, Ghana. American Behavioral Scientist, 59, 424-437. https://doi.org/10.1177/0002764214550305
|
[89]
|
Ofori, B. Y., Obeng, E. A., & Attuquayefio, D. K. (2022). Urbanization Influences Small Mammal Composition, but Not Species Richness in Forest Fragments in Accra, Ghana. Environmental Monitoring and Assessment, 194, Article No. 60. https://doi.org/10.1007/s10661-021-09729-0
|
[90]
|
Ogidi, O. I., & Akpan, U. M. (2022). Aquatic Biodiversity Loss: Impacts of Pollution and Anthropogenic Activities and Strategies for Conservation. In S. Chibueze Izah (Ed.), Biodiversity in Africa: Potentials, Threats and Conservation (pp. 421-448). Springer. https://doi.org/10.1007/978-981-19-3326-4_16
|
[91]
|
Okwuashi, O., & Ndehedehe, C. E. (2021). Integrating Machine Learning With Markov Chain and Cellular Automata Models for Modelling Urban Land Use Change. Remote Sensing Applications: Society and Environment, 21, Article ID: 100461. https://doi.org/10.1016/j.rsase.2020.100461
|
[92]
|
Onodugo, V. A., & Ezeadichie, N. H. (2019). Future Planning of Global South Cities with Inclusive Informal Economic Growth in Perspective. In A. Almusaed, A. Almssad, & L.Truong-Hong (Eds.), Sustainability in Urban Planning and Design. IntechOpen.
|
[93]
|
Owusu, J. H. (2010). Trends in Ghana’s International Timber Trade: Implications for Local Livelihoods and Sustainable Forest Management. In L. A. German, A. Karsenty, & A. M. Tiani (Eds.), Governing Africa’s Forests in a Globalized World (p. 261). Routledge.
|
[94]
|
Parsa, V. A., Yavari, A., & Nejadi, A. (2016). Spatio-Temporal Analysis of Land Use/Land Cover Pattern Changes in Arasbaran Biosphere Reserve: Iran. Modeling Earth Systems and Environment, 2, 1-13. https://doi.org/10.1007/s40808-016-0227-2
|
[95]
|
Rahnama, M. R. (2021). Forecasting Land-Use Changes in Mashhad Metropolitan Area Using Cellular Automata and Markov Chain Model for 2016-2030. Sustainable Cities and Society, 64, Article ID: 102548. https://doi.org/10.1016/j.scs.2020.102548
|
[96]
|
Ritchie, H., & Roser, M. (2018). Urbanization. Our World in Data.
|
[97]
|
Rodriguez-Galiano, V. F., Ghimire, B., Rogan, J., Chica-Olmo, M., & Rigol-Sanchez, J. P. (2012). An Assessment of the Effectiveness of a Random Forest Classifier for Land-Cover Classification. ISPRS Journal of Photogrammetry and Remote Sensing, 67, 93-104. https://doi.org/10.1016/j.isprsjprs.2011.11.002
|
[98]
|
Roy, P. S., Ramachandran, R. M., Paul, O., Thakur, P. K., Ravan, S., Behera, M. D. et al. (2022). Anthropogenic Land Use and Land Cover Changes—A Review on Its Environmental Consequences and Climate Change. Journal of the Indian Society of Remote Sensing, 50, 1615-1640. https://doi.org/10.1007/s12524-022-01569-w
|
[99]
|
Rwanga, S. S., & Ndambuki, J. M. (2017). Accuracy Assessment of Land Use/Land Cover Classification Using Remote Sensing and GIS. International Journal of Geosciences, 8, 611-622. https://doi.org/10.4236/ijg.2017.84033
|
[100]
|
Shepero, M., & Munkhammar, J. (2018). Spatial Markov Chain Model for Electric Vehicle Charging in Cities Using Geographical Information System (GIS) Data. Applied Energy, 231, 1089-1099. https://doi.org/10.1016/j.apenergy.2018.09.175
|
[101]
|
Shrivastava, P., Smith, M. S., O’Brien, K., & Zsolnai, L. (2020). Transforming Sustainability Science to Generate Positive Social and Environmental Change Globally. One Earth, 2, 329-340. https://doi.org/10.1016/j.oneear.2020.04.010
|
[102]
|
Siqueira-Gay, J., Sonter, L. J., & Sánchez, L. E. (2020). Exploring Potential Impacts of Mining on Forest Loss and Fragmentation within a Biodiverse Region of Brazil’s Northeastern Amazon. Resources Policy, 67, Article ID: 101662. https://doi.org/10.1016/j.resourpol.2020.101662
|
[103]
|
Smit, W. (2021). Cities and Regions in Sub-Saharan Africa. In A. M. Orum, J. Ruiz-Tagle, & S. V. Haddock (Eds.), Companion to Urban and Regional Studies (pp. 64-84). John Wiley & Sons. https://doi.org/10.1002/9781119316916.ch4
|
[104]
|
Sobhani, P., Esmaeilzadeh, H., & Mostafavi, H. (2021). Simulation and Impact Assessment of Future Land Use and Land Cover Changes in Two Protected Areas in Tehran, Iran. Sustainable Cities and Society, 75, Article ID: 103296. https://doi.org/10.1016/j.scs.2021.103296
|
[105]
|
Subedi, P., Subedi, K., & Thapa, B. (2013). Application of a Hybrid Cellular Automaton-Markov (CA-Markov) Model in Land-Use Change Prediction: A Case Study of Saddle Creek Drainage Basin, Florida. Applied Ecology and Environmental Sciences 1, 126-132. https://doi.org/10.12691/aees-1-6-5
|
[106]
|
Swette, B., & Lambin, E. F. (2021). Institutional Changes Drive Land Use Transitions on Rangelands: The Case of Grazing on Public Lands in the American West. Global Environmental Change, 66, Article ID: 102220. https://doi.org/10.1016/j.gloenvcha.2020.102220
|
[107]
|
Takyi, S. A., Amponsah, O., Yeboah, A. S., & Mantey, E. (2021). Locational Analysis of Slums and the Effects of Slum Dweller’s Activities on the Social, Economic and Ecological Facets of the City: Insights from Kumasi in Ghana. GeoJournal, 86, 2467-2481. https://doi.org/10.1007/s10708-020-10196-2
|
[108]
|
Timsina, S., Hardy, N. G., Woodbury, D. J., Ashton, M. S., Cook-Patton, S. C., Pasternack, R., & Martin, M. P. (2022). Tropical Surface Gold Mining: A Review of Ecological Impacts and Restoration Strategies. Land Degradation & Development, 33, 3661-3674. https://doi.org/10.1002/ldr.4430
|
[109]
|
Tonini, M., Parente, J., & Pereira, M. G. (2018). Global Assessment of Rural-Urban Interface in Portugal Related to Land Cover Changes. Natural Hazards and Earth System Sciences, 18, 1647-1664. https://doi.org/10.5194/nhess-18-1647-2018
|
[110]
|
Wang, S. W., Munkhnasan, L., & Lee, W.-K. (2021). Land Use and Land Cover Change Detection and Prediction in Bhutan’s High Altitude City of Thimphu, Using Cellular Automata and Markov Chain. Environmental Challenges, 2, Article ID: 100017. https://doi.org/10.1016/j.envc.2020.100017
|
[111]
|
Wellington, H. N. (2009). Gated Cages, Glazed Boxes and Dashed Housing Hopes—In Remembrance of the Dicey Future of Ghanaian Housing. In Proceedings of the 2009 National Housing Conference. CSIR/GIA.
|
[112]
|
Wemegah, C. S., Yamba, E. I., Aryee, J. N. A., Sam, F., & Amekudzi, L. K. (2020). Assessment of Urban Heat Island Warming in the Greater Accra Region. Scientific African, 8, e00426. https://doi.org/10.1016/j.sciaf.2020.e00426
|
[113]
|
Worlanyo, A. S., & Li, J. F. (2021). Evaluating the Environmental and Economic Impact of Mining for Post-Mined Land Restoration and Land-Use: A Review. Journal of Environmental Management, 279, Article ID: 111623. https://doi.org/10.1016/j.jenvman.2020.111623
|
[114]
|
Wulder, M. A., Coops, N. C., Roy, D. P., White, J. C., & Hermosilla, T. (2018). Land Cover 2.0. International Journal of Remote Sensing, 39, 4254-4284. https://doi.org/10.1080/01431161.2018.1452075
|
[115]
|
Xing, W., Qian, Y., Guan, X., Yang, T., & Wu, H. (2020). A Novel Cellular Automata Model Integrated With Deep Learning for Dynamic Spatio-Temporal Land Use Change Simulation. Computers & Geosciences, 137, Article ID: 104430. https://doi.org/10.1016/j.cageo.2020.104430
|
[116]
|
Yatta, F. P. (2018). Urbanization in Africa: Trends, Regional Specificities, and Challenges. In C. Rozenblat, D. Pumain, & E. Velasquez (Eds.), International and Transnational Perspectives on Urban Systems (pp. 317-339). Springer. https://doi.org/10.1007/978-981-10-7799-9_14
|
[117]
|
Ye, Y., Wu, Q., Huang, J. Z., Ng, M. K., & Li, X. (2013). Stratified Sampling for Feature Subspace Selection in Random Forests for High Dimensional Data. Pattern Recognition, 46, 769-787. https://doi.org/10.1016/j.patcog.2012.09.005
|