Tree Cover during 2000-2010 in eastern China data mining and analysis
1. GROUP MEMBERS
1. Abu Taher 44648
2. Muhammad Wajahat 44981
3. Rajinder Kumar 44910
Masters of IT and Systems
Victorian Institute of Technology
2. MITS4003 DATABASE SYSTEMS
Paper:
Recent tree cover increases in eastern China linked to low,
declining human pressure, steep topography, and climatic
conditions favouring tree growth
Authors:
Nüchel, J. and Svenning, J.C., 2017
6. STUDY AREA
As show in figure, complete
the study on half area of
China with 4873475 km2
about the diverse climate in
different regions. This
image show the area that
cover by tress in year of
2000.
7. DATA OF ENVIRONMENTAL AND
ANTHROPOGENIC
Collect data from 2000 to 2010 with using MODIS &
VCF methods.
The collected data represent uncertainty in tree
cover area with difference between actual tree
cover area and semi-tree cover area.
Anthropogenic activities cover the area of HII, GDP
with HPD as density of human population changes
every year in a high number.
8. RANDOM FOREST
Show the changes in tree cover area from 2000 to
2010 in the below graph.
Distribute different species & use machine learning
technique for the classification of trees
Check the performance of RF model that influenced
by different number of varaibles
11. REFERENCE
Nüchel, J. and Svenning, J.C., 2017. Recent tree
cover increases in eastern China linked to low,
declining human pressure, steep topography, and
climatic conditions favoring tree growth. PloS
one, 12(6), p.e0177552.
Editor's Notes
Conduct the process of database system with data mining & data analysis after getting the results in selected journal or paper. The paper is about the tree cover increment in China with low declined human pressure and steep topography. The climate conditions are also in favour of tree in recent years.
Cover the area of 2667875 km2 compare to decline area of 1854900 km2 in recent years.
Cover different area in materials & methods section with study area, random forest and Environmental and anthropogenic data that collects from different sources.
Terms refers to Moderate Resolution Imaging Spectroradiometer (MODIS) Vegetation Continuous Fields (VCF) and
Human population density (HPD), Human Influence Index (HII) and Gross Domestic Product (GDP)
The above result one shows with changes in the percent of area from 2000 to 2010
Result two shows with the important of different variables with different RF models that applied in country to get the dataset of trees.
Result one is about the partial dependencies plots in different variables with using RF (Random Forest) models as created graphs with scale, elevation, evapotranspiration and changes in population density with Human Influence Index.
The next graph result is about the plots of partial decencies with using the scale of RF models with same as last one.
