I collectd data by using camera trap on a wild animal. It consisted at 130 photos. I have placed data in Excel with multiple columns of image no., year, month, date, time, temperature, lunar phase, no. of animals, behavior of animal. Now i want to know that how i can analyze the data? and which statistical tools will b used regarding to find out good results.
you can apply the Cluster Analysis technique and other appropriate machine learning tools to extract information from your data set.
130 photos is a small sample size. You could just group observations into percentages or just provide a table of different species/behaviours you observed.
Thase 130 photos are of a single species. Because my focus is just one species. Please suggest me any statistiacl tool if applicable on such type of data. thanks
Objective of the project, is it estimate repeatability behavior of animal in a trait over time or lunar phase? Or predict a trait? This paper helps: http://www.ebd.csic.es/documents/240051/0/A+simple+statistical+guide+when+data+are+constrained+due+to+practical+or+ethical+reasons.pdf/f818b09d-0042-4d4c-9849-567fc0ca0782 many suggestions like autocorrelation, regression, Bayesian… are explained.
Debopam Ghosh , William Terry and Prasanthi Sanjeevi ...Thanks to you all
It depends on what is your research question.
You can read the following book as a good reference for camera trap based research.
Book Camera Trapping for Wildlife Research
Hello Babar,
The simplest analyses I come up with, with our camera trap data is the capture rate (total number of captures/total camera trap nights or days i.e. the effort) of each species. Some people express this equation per 100 days, by multiplying the value you get from the above equation divided by 100, also known as the relative abundance index. Some people also use camera specific capture rates, because effort varies. I understand you are focused on a particular species, but it will be great to see capture rates of all animals captured. Camera trapping is a strong tool and the bycatch data can simply not be ignored. You would find co-occurence patterns in space and time.
If your camera trapping design meets the criteria, you may use occupancy modelling framework using PRESENCE or unmark in R.
Best for storage and analyses would be to explore the package 'camtrapR' in R platform. It's quite straightforward and the guide well describes the steps with examples.
question is can you identify the individuals ? If you can identify the individuals in your picture you should go for SECR analysis.
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