Social value assessment of ecosystem service functions based on SolVES model supported by multi-source environment (QGIS\PostgreSQL\ARCGIS\MAXENT\R language)
The SolVES model and its principles for assessing the social value of ecosystem service functions, the principle and operation method of the SolVES model: how to import the collected social survey data into the database (SQL), and combine the sum of the amount of money allocated by the respondents to each type of social value (ie weight index), how to use the embedded kernel density analysis tool to perform weighted kernel density analysis on the marked social value points to get the "kernel density surface" and "maximum grid value"; how to use the "average nearest Neighbor Statistics” tool to count the clustering spatial distribution of social value points; how to use the model to divide the “kernel density surface” by the “maximum raster value” and standardize the result as a “value index surface”; how to combine environmental variable data , start the MaxEnt maximum entropy model to predict the spatial distribution of social value points, and realize the mapping of social value.
QGIS\PostgreSQL\ARCGIS\MAXENT\R language environment configuration and basic methods, using the advantages of various platforms to expand and analyze the social value of ecosystem services: such as obtaining the corresponding social value distribution map based on different environmental variables, and analyzing the social value in Spatial distribution characteristics; study the collinearity of environmental variables; study the influence of environmental variables on the spatial distribution of social value, and deeply analyze the relationship between each environmental variable and different types of social value; study the impact of each environmental variable on social value. Value contribution, so as to further determine which environmental factors contribute more to social value and so on. This course will also summarize the current research results, research hotspots, advantages and disadvantages of the model based on relevant application cases, and look forward to its future development trend, in order to provide reference for the SolVES model to be better applied to the social value assessment of ecosystem service functions.
Link to the original text: Social Value Assessment of Ecosystem Service Function of SolVES Model Supported by Multi-source Environment (QGIS\PostgreSQL\ARCGIS\MAXENT\R Language)
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