I used a random sampling strategy to collect my data. I have randomly selected 10 different quadrats and monitored the three factors, presence or absence of sunlight, water, and slope. Initially, the selection of a sampling strategy was a bit confusing considering the sample unit is a small area(backyard). I also had no control over the factors influencing the area because of the changing weather conditions. I wanted to go for bigger size quadrats at first but then I went for 10 of 20cm x 20cm square quadrats. I used a ruler and white powdered chalk to mark the quadrats. The sampling strategy was easy to implement as the weather conditions were homogeneous for three days. The combination of factors was easily examinable, and observations were clear. The data was a bit surprising as some observations were leaning towards one factor (presence of water) influencing greener grass but in one quadrat a green shrub was observed. I also observed that the slope also play a greater role in grass abundance. This observation made me realize that there could be another factor that could potentially have influenced the grass in that area. I will continue to collect data using the same technique. I will continue to monitor quadrat 7, to monitor the factor that led to the growth of the green shrub as the grass on the surrounding is patchy and dry. All the factors are not controlled in any of the quadrats.
Yes, I think the combination of factors you are studying is a challenge. It would be simpler to focus even on 2 – say sunlight and slope. Water availability will be influenced by both slope and sunlight and so it might be better to discuss water in the discussion as another factor that could be influencing your results but for data focus on sunlight and slope.