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1. Spatial data acquisition and mapping
1.1 Software installation and application explanation
1.2 Introduction to Spatial Data
1.3 Massive space data download
1.4 Quick start of ArcGIS software
1.5 Geodatabase geographic database
Two, ArcGIS thematic map production
2.1 Specifications for making thematic maps
2.2 Preparation and processing of spatial data
2.3 Visualization of Spatial Data: Map Symbols and Annotations
2.4 Schematic drawing of the research area
2.5 Thematic map drawing and effect improvement
2.6 Drawing of spatial base map
3. Spatial data collection and processing
3.1 Map georeferencing and digitization
3.2 Topological editing of spatial data
3.3 Input and edit attribute data
3.4 Projection transformation: Gauss Kruger projection,
Albers projection, UTM projection
3.5 Geographic transformation: BJ54, XIAN80, WGS84 and CGCS2000
3.6 Spatial analysis of vector data (spatial overlay analysis, buffer analysis)
4. Remote sensing data processing and application
4.1 Acquisition of remote sensing data
4.2 ENVI software remote sensing image processing
4.3 ENVI software land use interpretation
4.4 Inversion of vegetation coverage by ENVI software
4.5 Data download and application of NDVI and other remote sensing products
5. DEM data processing and application
5.1 Acquisition and processing of DEM data
5.2 Surface Analysis Based on DEM: Elevation, Slope, Aspect, Contour, Hillshade
5.3 Hydrological analysis based on DEM: river network, basin, catchment area, slope
5.4 Inundation analysis based on DEM data
5.5 Calculation of reservoir capacity based on DEM data
6. Sampling data processing and application
6.1 Regional sampling data design: vector fishnet construction
6.2 Design of channel sampling data: division of channel sections
6.3 Excel point data space display
6.4 Spatial interpolation analysis: use of inverse distance weighting method, kriging method, and geostatistical tools
6.5 Extraction and analysis of interpolation results
6.6 Statistical analysis of interpolation results
7. Land use treatment and application
7.1 Acquisition and processing of land use data
7.2 Classification and extraction of land use: reclassification, raster to vector, fusion processing
7.3 Analysis of Land Use Change - Migration Matrix
7.4 Analysis of human activity intensity based on land use
7.5 Evaluation of urban land use suitability
8. Analysis of land use landscape pattern
8.1 Basic operation of Fragstats
8.2 Fragstats space partition calculation
8.3 Fragstats spatial result display
8.4 Land use prediction based on FLUS model
8.5 Landscape pattern under land use prediction
9. Soil data processing and application
9.1 Soil data acquisition or processing
9.2 Soil nutrient survey and soil testing and fertilization
9.3 "Double evaluation" technology: evaluation of agricultural land resources
9.4 Simulation and analysis of soil erosion based on InVEST model
9.5 Soil erosion risk assessment
10. Meteorological data processing and application
10.1 Display and processing of meteorological station data
10.2 CMIP6 data download and display
10.3 CMIP6 data downscaling processing
10.4 Retrieval of land surface temperature based on remote sensing data
11. Greenhouse gas data processing
11.1 Acquisition and analysis of available greenhouse gas satellite retrieval data
11.2 Construction of remote sensing regression model for forest carbon stock estimation
11.3 NEP (Net Ecosystem Productivity) Analysis Based on CASA Model
11.4 Analysis of land use carbon storage based on InVEST model
12. Spatial Statistical Analysis
12.1 Statistical Analysis of Spatial Partitions
12.2 Measuring geographic distribution: standard distance, mean center, etc.
12.3 Spatial Autocorrelation Analysis: Global Moran Index
12.4 Spatial Cluster Analysis: Local Moran Index, Hot Spot Analysis
12.5 Modeling Spatial Relationships: Geographically Weighted Regression
Thirteen, ArcGIS advanced application skills
13.1 ArcGIS Realization of Mathematical Model of Ecological Environment
13.2 Field Calculator and Raster Calculator Advanced Tips
13.3 ArcGIS modeling tools: Model Builder and its application
13.4 ArcGIS data batch processing skills
13.5 Introduction to ArcGIS Add-In Tool Development
14. Project promotion and thesis writing
14.1 How to improve the project level under limited data
14.2 Analysis of the framework of the "eight-legged essay" style SCI paper
14.3 How to determine a good thesis topic with limited data
14.4 How to effectively respond to review comments
