Home > data science > NYC Parks datadive update: does pruning prevent future fallen trees?

NYC Parks datadive update: does pruning prevent future fallen trees?

September 9, 2012
Categories: data science
  1. September 9, 2012 at 9:43 am

    needs to be interactive; you are trying to mastermind a central control for a complex continually changing problem. why not involve the people on the block who walk by those trees every day? let them enter issues seen. every spring some branches are found not to have survived the winter or lack of water from the previous summer, so they die, but are still part of the tree, until a storm renders them weaker, and they break. You cannot track or model the effects of the weather so completely, so use the eyes of the people, too.

  2. somedude
    September 9, 2012 at 4:19 pm

    My own experience with trees leads me te assume that the number of falling trees is highly dependant on species. Some fast growing species can easily lose branches. Oaks are good, willows not so much.

  3. jmacclure
    September 9, 2012 at 10:43 pm

    I’m an actuary, we use mathematical models of survival to value liabilities for insurance companies and pension funds. To use your example, actuaries:
    1. map survival probabilities to characteristics of the population: age, gender, etc
    2. define the expected cash flows under a pension scheme or insurance policy
    3. accounting for the economic environment
    4. tweaking the assumptions in our model as experience of the specific population unfolds over time
    5. here is where it gets interesting, and where i’d like to be able to apply some of this “data science” to actuarial science, where the models would essentially “train themselves” to extract trends and information from the data

  1. September 11, 2012 at 1:51 pm
  2. October 24, 2012 at 6:24 am
  3. January 3, 2013 at 11:08 am
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