Table of contents
Topic 1. Spatial Data Acquisition and Mapping
Topic 2: ArcGIS Thematic Map Production
Topic 3. Spatial Data Acquisition and Processing
Topic 4. Remote sensing data processing and application
Topic 5. DEM data processing and application
Topic 6. Sampling data processing and application
Topic 7. Land use treatment and application
Topic 8. Analysis of land use landscape pattern
Topic 9. Soil data processing and application
Topic 10. Meteorological data processing and application
Topic 11. Greenhouse gas data processing
Topic 12. Spatial Statistical Analysis
Topic 13. Advanced application skills of ArcGIS
Topic 14. Project promotion and thesis writing
The instructor has something to say.
The purpose given by the teacher is not only to master the technology, but also to cultivate the scientific research quality of the scientific research team from the perspective of technology integration and scientific research experience, excavation-integration-innovation
Purpose
To solve your data analysis problems and hot issues from the perspective of scientific research and projects, dig out better innovation points and data support for your thesis writing and project promotion, and cultivate the scientific research quality and ability of the scientific research team
Advantages
14 special topics, a variety of technology integration, hot spots and key case practice, no matter the mastery of the technology itself can improve the ability to mine innovation points from a large number of data, it is a necessary scientific research and technical quality teaching material for related scientific research work 1: face-to-
faceQuiet
environment, concentrated thinking, discuss scientific research ideas and innovation points for each student's scientific research direction
Time and place
July 22-28 [Urumqi]
August 12-18 [Fujian * Quanzhou]
Topic 1. Spatial Data Acquisition and Mapping
1.1 Software installation and application explanation
1.2 Spatial data introduction
1.3 Massive spatial data download
1.4 ArcGIS software quick start
1.5 Geodatabase geographic database
Topic 2: 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 Making schematic diagrams of the research area
2.5 Drawing and improving the effect
of thematic maps 2.6 Drawing spatial base maps
Topic 3. Spatial Data Acquisition and Processing
3.1 Map georeferencing and digitization
3.2 Topological editing of spatial data
3.3 Input and editing of attribute data
3.4 Projection transformation: Gauss Kruger projection, Albers projection, UTM projection
3.5 Geographic transformation: BJ54, XIAN80, WGS84 and CGCS2000
3.6 Vector Spatial analysis of data (spatial overlay analysis, buffer analysis)
Topic 4. Remote sensing data processing and application
4.1 Acquisition of remote sensing data
4.2 Remote sensing image processing with ENVI software
4.3 Land use interpretation with ENVI software
4.4 Vegetation coverage inversion with ENVI software
4.5 Data download and application of NDVI and other remote sensing products
Topic 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 Based on DEM data 5.5 Reservoir
Capacity Calculation Based on DEM Data
Topic 6. Sampling data processing and application
6.1 Regional sampling data design: Vector fishing net construction
6.2 River channel sampling data design: River channel section division
6.3 Excel point data spatial display
6.4 Spatial interpolation analysis: Inverse distance weighting method, kriging method, and geostatistical tools
6.5 Extraction of interpolation results 6.6 Statistical Analysis
of Interpolation Results
Topic 7. Land use treatment and application
7.1 Land use data acquisition and processing
7.2 Land use classification and extraction: reclassification, raster to vector, fusion processing
7.3 Land use change analysis - migration matrix
7.4 Human activity intensity analysis based on land use
7.5 Urban land use suitability evaluation
Topic 8. Analysis of land use landscape pattern
8.1 Fragstats basic operation
8.2 Fragstats spatial 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
Topic 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: agricultural land resource evaluation
9.4 Soil erosion simulation and analysis based on InVEST model
9.5 Soil erosion risk assessment
Topic 10. Meteorological data processing and application
10.1 Display and processing of meteorological station data
10.2 Download and display of CMIP6 data
10.3 Downscaling processing of CMIP6 data
10.4 Inversion of surface temperature based on remote sensing data
Topic 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 Land use carbon stock analysis based on InVEST model
Topic 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 Spatial Relationship Modeling: Geographically Weighted Regression
Topic 13. Advanced application skills of ArcGIS
13.1 ArcGIS Implementation of Ecological Environment Mathematical Model
13.2 Advanced Skills of Field Calculator and Raster Calculator
13.3 ArcGIS Modeling Tools: Model Builder and Application
13.4 ArcGIS Data Batch Processing Skills
13.5 Introduction to ArcGIS Add-In Tool Development
Topic 14. Project promotion and thesis writing
14.1 How to improve the level of the project under limited data
14.2 Analysis of the "stereotyped" SCI paper framework
14.3 How to determine a good thesis topic under limited data
14.4 How to effectively respond to review comments
