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gbream
commented
Nov 18, 2019
| @@ -5,10 +5,10 @@ subtitle: An interactive tool for understanding the distribution of invasive ins | |||
| output: html_document | |||
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| # Introduction | |||
| # Introduction | |||
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This introduction does a good job of laying the groundwork for the project and clearly states the question you want to explore in your analysis. I do wonder, though, how you will be integrating the temperature increase mentioned in that question.
gbream
commented
Nov 18, 2019
| @@ -60,7 +60,7 @@ SWWdf<-occ2df(SWW) | |||
| Spocc downloads data via "occ" and converts to a dataframe via "occ2df". | |||
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| # Results | |||
| My figures are not currently displayed, a placeholder image is below. The final project will have a slider built in Shiny that allows the user to control the timeframe of the data displayed. | |||
| My figures are not currently displayed, a placeholder image is below. The final project will have a slider built in Shiny that allows the user to control the timeframe of the data displayed. | |||
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The placeholder map shows what looks like distributions of various invasive species as well as the date they became established. Will temperature change over time be a layer or option for display on the final? I ask because your central question/hypothesis mentions a correlation with mean temperature rise.
gbream
commented
Nov 18, 2019
| @@ -82,4 +82,4 @@ This map will be wrapped into a larger Shiny fluidPage so that occurences can be | |||
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| What have you learned? Are there any broader implications? | |||
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| # References | |||
| # References | |||
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Nice job on the first draft. I find your topic to be extremely interesting as I have some background in biogeography and climate change. Having an interactive tool that can clearly communicate the spread of invasive species and infer climate change as a driver of that spread would be very useful in educating people about the issue.