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Spatial data analysis model construction for landscape vegetation impact evaluation

  
03 sept. 2024
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Jahani, A., Goshtasb, H., & Saffariha, M. (2020). Tourism impact assessment modeling of vegetation density for protected areas using data mining techniques. Land Degradation & Development, 31(12), 1502-1519. Search in Google Scholar

Yang, Y., Gatto, E., Gao, Z., Buccolieri, R., Morakinyo, T. E., & Lan, H. (2019). The “plant evaluation model” for the assessment of the impact of vegetation on outdoor microclimate in the urban environment. Building and environment, 159, 106151. Search in Google Scholar

Choi, Y., Lee, J. Y., & Sung, H. C. (2022). Environmental spatial data-based vegetation impact assessment for advanced environmental impact assessment. Korean Journal of Environmental Biology, 40(1), 99-111. Search in Google Scholar

Kowe, P., Mutanga, O., & Dube, T. (2021). Advancements in the remote sensing of landscape pattern of urban green spaces and vegetation fragmentation. International Journal of Remote Sensing, 42(10), 3797-3832. Search in Google Scholar

Wildi, O. (2017). Data analysis in vegetation ecology. Cabi. Search in Google Scholar

Kaya, E., Agca, M., Adiguzel, F., & Cetin, M. (2018). Spatial data analysis with R programming for environment. Human and ecological risk assessment: An International Journal. Search in Google Scholar

Sun, S., Xu, X., Lao, Z., Liu, W., Li, Z., García, E. H., ... & Zhu, J. (2017). Evaluating the impact of urban green space and landscape design parameters on thermal comfort in hot summer by numerical simulation. Building and Environment, 123, 277-288. Search in Google Scholar

Simensen, T., Halvorsen, R., & Erikstad, L. (2018). Methods for landscape characterisation and mapping: A systematic review. Land use policy, 75, 557-569. Search in Google Scholar

Yushanjiang, A., Zhang, F., & Yu, H. (2018). Quantifying the spatial correlations between landscape pattern and ecosystem service value: A case study in Ebinur Lake Basin, Xinjiang, China. Ecological Engineering, 113, 94-104. Search in Google Scholar

Hou, L., Wu, F., & Xie, X. (2020). The spatial characteristics and relationships between landscape pattern and ecosystem service value along an urban-rural gradient in Xi’an city, China. Ecological indicators, 108, 105720. Search in Google Scholar

Inkoom, J. N., Frank, S., Greve, K., Walz, U., & Fürst, C. (2018). Suitability of different landscape metrics for the assessments of patchy landscapes in West Africa. Ecological Indicators, 85, 117-127. Search in Google Scholar

Wei, S., Pan, J., & Liu, X. (2018). Landscape ecological safety assessment and landscape pattern optimization in arid inland river basin: Take Ganzhou District as an example. Human and Ecological Risk Assessment: An International Journal. Search in Google Scholar

Jia, Y., Tang, L., Xu, M., & Yang, X. (2019). Landscape pattern indices for evaluating urban spatial morphology–A case study of Chinese cities. Ecological indicators, 99, 27-37. Search in Google Scholar

Nath, B., Wang, Z., Ge, Y., Islam, K., P. Singh, R., & Niu, Z. (2020). Land use and land cover change modeling and future potential landscape risk assessment using Markov-CA model and analytical hierarchy process. ISPRS International Journal of Geo-Information, 9(2), 134. Search in Google Scholar

Solecka, I. (2019). The use of landscape value assessment in spatial planning and sustainable land management—a review. Landscape Research. Search in Google Scholar

Wang, H., Liu, X., Zhao, C., Chang, Y., Liu, Y., & Zang, F. (2021). Spatial-temporal pattern analysis of landscape ecological risk assessment based on land use/land cover change in Baishuijiang National nature reserve in Gansu Province, China. Ecological Indicators, 124, 107454. Search in Google Scholar

Zang, Z., Zou, X., Zuo, P., Song, Q., Wang, C., & Wang, J. (2017). Impact of landscape patterns on ecological vulnerability and ecosystem service values: An empirical analysis of Yancheng Nature Reserve in China. Ecological Indicators, 72, 142-152. Search in Google Scholar

Velli, A., Pirola, A., & Ferrari, C. (2019). Evaluating landscape changes using vegetation and land-use maps: An integrated approach. Landscape Research. Search in Google Scholar

Dobbs, C., Nitschke, C., & Kendal, D. (2017). Assessing the drivers shaping global patterns of urban vegetation landscape structure. Science of the Total Environment, 592, 171-177. Search in Google Scholar

Qulin Tan,Minzhou Bai,Pinggen Zhou,Jun Hu & Xiaochun Qin. (2024). Retraction notice to “Geological hazard risk assessment of line landslide based on remotely sensed data and GIS” [Measurement 169 (2021) 108370]. Measurement114389-. Search in Google Scholar

Haozhan Ni,Daoyang Wang,Wenzhuo Zhao,Wolin Jiang,E. Mingze,Chenyu Huang & Jiawei Yao. (2024). Enhancing rooftop solar energy potential evaluation in high-density cities: A Deep Learning and GIS based approach. Energy & Buildings113743-. Search in Google Scholar

João Wagner Alencar Castro,Daniel Fernandes,Willian Cruz Gouvea Junior,Frederico Maciel Pinheiro Sampaio de Miranda & Lucas Lavo Antonio Jimo Miguel. (2024). Comments on Palanisamy et al. (2024) “Spatio-temporal analysis of shoreline changes and future forecast using remote sensing, GIS and kalman filter model: A case study of Rio de Janeiro, Brazil”.Journal of South American Earth Sciences104844-. Search in Google Scholar