[Method]: Offline practice + a full set of courseware materials + long-term assistance from the Q&A group
【Introduction】:
Topic 1. "Spatial Data Acquisition and Mapping":
Software installation and application explanation
Introduction to Spatial Data
Massive spatial data download
ArcGIS Software Quick Start
Geodatabase geodatabase
Topic 2, "ArcGIS Thematic Map Production":
Specifications for making thematic maps
Spatial data preparation and processing
Visualizing Spatial Data: Map Symbols and Annotation
Schematic drawing of the research area
Thematic map drawing and effect improvement
Drawing of spatial basemap
Topic 3, "Spatial Data Acquisition and Processing":
Map Georeferencing and Digitization
Topological editing of spatial data
Input and edit attribute data
Projection transformation: Gauss Kruger projection, Albers projection, UTM projection
Albers projection, UTM projection
Spatial analysis of vector data (spatial overlay analysis, buffer analysis)
Topic 4. "Remote Sensing Data Processing and Application":
Acquisition of Remote Sensing Data
ENVI software remote sensing image processing
ENVI software land use interpretation
ENVI software vegetation coverage inversion
NDVI and other remote sensing product data download and application
Topic 5. "DEM Data Processing and Application":
Acquisition and processing of DEM data
DEM-based surface analysis: elevation, slope, aspect, contour, hillshade
DEM-based hydrological analysis: river network, basin, catchment, slope
Inundation analysis based on DEM data
Calculation of Reservoir Capacity Based on DEM Data
Topic 6. "Sampling Data Processing and Application":
Regional Sampling Data Design: Vector Fishnet Construction
River channel sampling data design: channel section division
Excel point data space display
Spatial Interpolation Analysis: Inverse Distance Weighting, Kriging, Geostatistical Tool Usage
Extraction and Analysis of Interpolation Results
Extraction and Analysis of Interpolation Results
Topic VII, "Land Use Treatment and Application":
Land use data acquisition and processing
Classification and extraction of land use: reclassification, raster to vector, fusion processing
Land Use Change Analysis - Migration Matrix
Analysis of Human Activity Intensity Based on Land Use
Suitability Evaluation of Urban Land Use
Topic 8, "Land Use Landscape Pattern Analysis":
Basic operation of Fragstats
Fragstats space partition calculation
Fragstats spatial results show
Land Use Prediction Based on FLUS Model
Landscape Patterns Under Land Use Prediction
Topic 9. "Soil Data Processing and Application":
Soil data acquisition or processing
Soil nutrient survey and soil testing and fertilization
"Double evaluation" technology: evaluation of agricultural land resources
Soil Erosion Simulation and Analysis Based on InVEST Model
Soil Erosion Risk Assessment
Topic 10. "Meteorological Data Processing and Application":
Display and processing of meteorological station data
CMIP6 data download and display
CMIP6 data downscaling processing
Retrieval of Land Surface Temperature Based on Remote Sensing Data
Topic 11. "Greenhouse Gas Data Processing":
Acquisition and analysis of available greenhouse gas satellite retrieval data
Construction of remote sensing regression model for forest carbon stock estimation
NEP (Net Ecosystem Productivity) Analysis Based on CASA Model
Analysis of land use carbon storage based on InVEST model
Topic 12. "Spatial Statistical Analysis":
Spatial Partition Statistical Analysis
Measuring geographic distribution: standard distance, mean center, etc.
Spatial Autocorrelation Analysis: Global Moran Index
Spatial cluster analysis: local Moran index, hot spot analysis
Modeling Spatial Relationships: Geographically Weighted Regression
Topic Thirteen, "ArcGIS Advanced Application Skills":
Realization of ArcGIS for the Mathematical Model of Ecological Environment
Field Calculator and Raster Calculator Advanced Tips
ArcGIS modeling tool: Model Builder and its application
ArcGIS data batch processing skills
Getting Started with ArcGIS Add-In Tool Development
Topic 14. "Project Promotion and Paper Writing":
How to improve project level under limited data
Analysis of the framework of "eight-legged essay" style SCI papers
How to determine a good thesis topic with limited data
How to effectively respond to review comments