2021 Vol.4 Jun.No.2

• Title: Spatial data collection method of ecological environment based on cluster analysis technology
• Name: Zheng Xu ,Chengzhao Wu
• Company: College of Architecture and Urban Planning, Tongji University
• Abstract:

  In order to better ensure the good development of ecological environment and accurately identify the spatial data of ecological environment, an ecological environment spatial data acquisition method based on cluster analysis technology is proposed. Combined with cluster analysis technology, the characteristics of ecological environment spatial data are identified, the environmental data are collected, the index evaluation system is constructed, and the index evaluation algorithm is optimized, Realize the collection, identification and data management of scientific and technological data of ecological environment. Finally, experiments show that the ecological environment spatial data acquisition method based on cluster analysis technology has significantly higher acquisition accuracy and higher effectiveness.

   

• Keyword: cluster analysis; Ecological environment; Data acquisition
• DOI: 10.12250/jpciams2021090223
• Citation form: Zheng Xu.Spatial data collection method of ecological environment based on cluster analysis technology[J]. Computer Informatization and Mechanical System,2021,Vol.4,pp.20-28

reference

[1] NM Koch，P Matos，C Branquinho，P Pinho，F Lucheta，DAMS Ma.，VM Ferrao Vargas. 2019, Selecting lichen functional traits as ecological indicators of the effects of urban environment. Science of the Total Environment, 654(MAR.1):705-713.

[2] KRJ Smettem，C Rye，DJ Henry，SJ Sochacki，RJ Harper. 2021,Soil water repellency and the five spheres of influence: A review of mechanisms, measurement and ecological implications. Science of The Total Environment, 787(232):147429.

[3] Yujun Y I ,  Lin C ,  Tang C . 2020,  Hydrology, environment and ecological evolution of Lake Baiyangdian since 1960s. Journal of Lake Sciences, 32(5):1333-1347.

[4] Sarkodie S A . 2020,Environmental performance, biocapacity, carbon & ecological footprint of nations: Drivers, trends and mitigation options. Science of The Total Environment, 751(10 January 2021):141912.

[5] Destek M A . 2021, Deindustrialization, Reindustrialization and Environmental Degradation: Evidence from Ecological Footprint of Turkey. Journal of Cleaner Production, 296(30):126612.

[6] RE Danczak，AE Goldman，RK Chu，JG Toyoda，JC Stegen. 2021, Ecological theory applied to environmental metabolomes reveals compositional divergence despite conserved molecular properties. Science of The Total Environment, 788(7):147409.

[7] VS Saito，T Siqueira，LM Bini，R Costa-Pereira，S Pavoine. 2020, Comparing taxon- and trait-environment relationships in stream communities. Ecological Indicators, 117(7):106625.

[8] A Kaklauskas，E Herrera-Viedma，V Ec

henique，E K Zavadskas，A Podviezko. 2020, Multiple criteria analysis of environmental sustainability and quality of life in post-Soviet states. Ecological Indicators, 89(11):781-807.

[9] M Javanbakht，AD Boloorani，M Kiavarz，NN Samani，M Zangiabadi. 2020, Spatial-temporal analysis of urban environmental quality of Tehran, Iran. Ecological Indicators, 120(January 2021):106901.

[10] P Liu，Y Shi，X Wu，H Wang，S Gao. 2021,  Review of the artificially-accelerated aging technology and ecological risk of microplastics. Science of The Total Environment, 768(8):144969.

[11] JYL A，WY A，YA Jie，YC A，WA Qian，JB Ling. 2019, Reduced bioavailability and ecological risks of polycyclic aromatic hydrocarbons in Yangshan port of East China Sea: Remediation effectiveness in the transition from construction to operation. Science of The Total Environment, 687(8):679-686.

[12] S Niell，F Jesus，R Diaz，Y Mendoza，G Notte，E Santos，N Gerez，M Veronica Cesio，H Cancela，H Heinzen. 2019,Agroecology environment quality quotient (AEQ), an indicator of both, the beehive fitness and the contamination level of the environment by pesticides. Ecological indicators, 106(Nov.):105448.1-105448.4.

[13] M Kuemmerlen，P Reichert，R Siber，N Schuwirth. 2019,  Ecological assessment of river networks: From reach to catchment scale. Science of the Total Environment, 650(7):1613-1627.

[14] Lianqing Xue a b，Boli Zhu a，Yiping Wu c，Guanghui Wei d，Shumin Liao a，Changbing Yang e，Jing Wang a，Hui Zhang a，Lei Ren a，Qiang Han a. 2019, Dynamic projection of ecological risk in the Manas River basin based on terrain gradients. Science of The Total Environment, 653(4):283-293.

[15] M Yousefi，A Darvishi，R Padró，S Barghjelveh，J Marull. 2020, An energy-landscape integrated analysis to evaluate agroecological scarcity. Science of The Total Environment, 739:139998.

[16] T Han，H Ren，J Wang，H Lu，RL Chazdon. 2020, Variations of leaf eco-physiological traits in relation to environmental factors during forest succession. Ecological Indicators, 117:106511.

[17] Tzanis C G ,  Alimissis A ,  Koutsogiannis I . 2021,  Addressing Missing Environmental Data via a Machine Learning Scheme. Atmosphere, 12(4):499.

[18] Komilov A G . 020,  Algorithm for Multivariate Solution of Mathematical Models in MATLAB to Create a Database of Environmental Parameters. Applied Solar Energy, 256(1):63-69.

[19] S Chen，Z Liang，R Webster，G Zhang，Zhou, Yin，Teng, Hongfen，Hu, Bifeng，Arrouays, Dominique，Z Shi. 2019, A high-resolution map of soil pH in China made by hybrid modelling of sparse soil data and environmental covariates and its implications for pollution. Science of The Total Environment, 665(10):273-283.

[20] ES Meier，A Indermaur，C Ginzler，A Psomas. 2020, An Effective Way to Map Land-Use Intensity with a High Spatial Resolution Based on Habitat Type and Environmental Data. Remote Sensing, 12(6):969.