Table of contents
Chapter Two: Data Sources and Preprocessing
Chapter 3: Construction of Eco-environmental Vulnerability Assessment Model
Chapter 6: Ecological Quality Evaluation Based on RSEI Index
Chapter 7: Thesis Writing and Case Analysis
In recent years, scholars at home and abroad have carried out a large number of studies on ecological vulnerability in terms of ecosystem sensitivity, adaptability, and potential impact. The ecological vulnerability characteristics of different types of research areas are evaluated in combination with cities, cities, etc. The research content mainly includes the analysis of the temporal and spatial evolution of vulnerability, dynamic monitoring, impact mechanism and driving factors. Scholars at home and abroad have proposed research frameworks and conceptual models of ecological vulnerability from the aspects of ecological vulnerability elements, system structure and function, and formation mechanism. Among them, the SRP model is mainly constructed on the basis of the connotation of ecosystem stability, reflecting the comprehensive impact of natural environment impact and human activity disturbance, and ecosystem sensitivity and adaptability on ecological fragility, and its structure systematically covers ecological fragility It has been widely used in the assessment of ecological vulnerability. Researches on areas with different ecological vulnerability characteristics from different perspectives use different measurement models, and the index systems used in the research are also different. At present, most of the indicators come from two levels: natural elements and human factors.
Understanding the causes of changes in ecological vulnerability and its internal mechanism is an important task in the analysis of the driving mechanism of vulnerability, which can provide targeted guidance and suggestions for the protection and governance of the ecological environment. At present, scholars at home and abroad have conducted extensive and in-depth research on ecological vulnerability. Through a systematic review of relevant literature, it has been found that most of the research focuses on the evaluation of the spatio-temporal pattern of ecological vulnerability, the coupling and coordination analysis of vulnerability and economic, population and other factors, and the relationship between land and land. The use of correlation analysis and other aspects, but the analysis and discussion of its driving mechanism is still relatively weak, mainly in two aspects: the type of driving factors and the analysis method of driving mechanism. With the exchange and development of 3S technology and various disciplines, compared with the traditional ecological environment monitoring and analysis in the past, limited by data visualization, data acquisition, data space analysis, timeliness, and monitoring range, remote sensing technology in 3S technology has the observation area. The advantages of large size, strong timeliness, and precise location positioning; geographic information system technology has the advantages of powerful spatial statistical analysis, such as regional spatial visualization of discrete data in ecological environment research, and accurate spatial calculation and analysis of ecological environment evaluation . In the development of ecological environment vulnerability assessment, 3S technology not only makes up for the shortcomings of traditional survey methods, but also accurately and effectively extracts information related to the ecological environment and improves the monitoring efficiency of ecological environment changes. In addition, with the help of 3S technology, it can also provide scientific support for decision-making of ecological protection, restoration and reconstruction in ecologically fragile areas and other non-ecologically fragile areas. The use of 3S technology for ecological environmental vulnerability assessment can make the evaluation index data realize spatial visualization and make the evaluation results spatially accurate. and scientifically identify and analyze its factor mechanism and variation rules, so as to provide scientific support for regional ecological protection construction and restoration in a targeted manner.
Integrate cloud, desktop and other environments, combine the advantages of remote sensing cloud computing, GIS spatial analysis, and R language statistical analysis, and analyze the spatiotemporal evolution of ecological environmental vulnerability as the main line. Through learning, you will master: first, collect various index data, and build an evaluation system of "ecological pressure-ecological sensitivity-ecological resilience" ; second, extract landscape pattern index by mastering multi-source spatial data processing methods , Kernel density estimation, vegetation inversion, soil erosion calculation, spatial interpolation and other technical methods to build a spatial database of evaluation indicators; third, determine the weight, calculate the vulnerability value of Panzhihua City, carry out vulnerability classification and area statistics, and complete the ecological analysis of the research area. Analysis of spatial differentiation characteristics of environmental vulnerability; fourth, combined with CA-Markov model, dynamic degree, trend index, and comprehensive ecological vulnerability index to analyze the change trend and speed of Panzhihua's overall vulnerability, and complete the evolution law of the time pattern of Panzhihua's ecological environmental vulnerability Analysis; Fifth, use geographic detectors to find the human driving factors affecting the region, and provide scientific and theoretical support for the road to ecological civilization construction through ecological vulnerability levels and zoning.
Chapter 1: Connotation of Eco-environmental Vulnerability Assessment and Analysis of Research Hotspots Based on Literature Visualization Method
1. Basic principles
ØThe connotation of the vulnerability of the ecological environment
ØEcological environment vulnerability assessment research
ØResearch on the driving force of the vulnerability of the ecological environment
ØResearch hotspots on ecological environment vulnerability
2. Introduction to document visualization software and common functions
ØVOS Viewer literature visualization and research hotspot analysis;
ØCitespace document visualization and research hotspot analysis;
ØArcGIS software introduction and installation skills
ØR locale deployment
ØIntroduction and login of remote sensing cloud computing platform
ØFragstate installation and introduction
Chapter Two: Data Sources and Preprocessing
1. ArcGIS Pro software introduction and installation, common function introduction
ØArcGIS Pro version introduction, installation;
ØArcGIS Pro software interface, common function introduction;
ØIntroduction and establishment of space coordinate system
ØSpatial data introduction and storage
ØMap symbols and layout design
2. Data collection and preprocessing
3. Preprocessing
Projective transformation, resampling, cropping, etc.
Chapter 3: Construction of Eco-environmental Vulnerability Assessment Model
1. SRP conceptual model
2. Selection principles of evaluation factors
3. Framework of evaluation index system
4. Correlation between evaluation indicators and ecological environment vulnerability
V. Extraction of evaluation indicators
²Using population distribution, proportion of cultivated land, and GDP per capita to characterize the degree of ecological pressure
²Based on PIE ENGINE population distribution data acquisition and preprocessing
²GDP distribution data acquisition and preprocessing based on PIE ENGINE
²Calculation of cultivated land occupancy
6. Standardization of evaluation indicators
7. Determination of the weight of evaluation indicators
²The spatial principal component analysis method completed the weight determination of the ecological environment vulnerability evaluation indicators in Panzhihua City in each period
8. Ecological environment vulnerability assessment model
9. Classification and Grading of Eco-environmental Vulnerability Assessment Results
Chapter 4: Analysis of the Evolution of Spatiotemporal Patterns of Ecological Environmental Vulnerability
1. Spatial Pattern Analysis of Ecological Environmental Vulnerability
2. Temporal changes in the vulnerability of the ecological environment
²Using CA-Markov model, single dynamic degree, comprehensive dynamic degree calculation:
3. Analysis of trend changes
Chapter 5: Analysis of the driving mechanism of the spatio-temporal pattern of ecological environmental vulnerability
1. Introduction to R Language Grammar
2. Introduction of geographic detectors and related packages
3. Geographic detector operation
Ø Relative importance of drivers
Ø Interaction of driving factors
Chapter 6: Ecological Quality Evaluation Based on RSEI Index
1. Load the vector boundary of the research area: load the vector map of the area on the map.
2. Cloud mask: Import the required data set and perform cloud removal processing.
3. Water body mask: Calculation formula of water body mask:
4. Construction of Remote Sensing Ecological Index ( RSEI )
5. Principal component analysis
6. Results export and analysis
7. Spatial analysis of cold and hot spots
Chapter 7: Thesis Writing and Case Analysis
1. Thesis writing and submission experience sharing
2. SRP model related application case analysis
3. Thesis writing case and analysis
