For data collection, I decided to create a transit line from the picnic shelter area of the park to the creek which was 75 meters. I didn’t encounter any difficulties in terms of collecting the data as the process was straightforward, creating a transect line, dividing it into quadrats, and recording the species and their percent coverage for each quadrat. However, one difficulty was choosing how far to place the quadrats but assessing the area I realized that due to the repetitive nature of the species for the first 70 meters, I could record data every 10 meters and as I approached the creek the species diversity started to increase this is when I began to record data per meter for more accurate results. Also, choosing what strategy to implement was a bit difficult for me as I didn’t know which method would provide more accurate results. The data that I collected was not surprising as it aligned with my initial observations that near the picnic area, there were very few species, just certain tree species which were as western red cedar, dawn redwood and Douglas fir which came in the transect lines as well. Also, initially, I had observed that there are more plant and shrub species closer to the creek and this was also seen in the data collection however in my initial observations I had missed a willow which was present near the creek. I believe that this is a good way of collecting data especially if the species composition is repetitive. However, in cases of greater species diversity, stratified random sampling using a random step generator and compass for direction may provide more comprehensive results. Despite this, I am inclined to continue with the transect line method for its simplicity and alignment with my research goals.