[obol] Re: Mining eBird data

  • From: Priscilla Sokolowski <priscillanhk@xxxxxxxxx>
  • To: Mark Nikas <elepaio@xxxxxxxxx>
  • Date: Fri, 20 Mar 2015 08:07:10 -0700

Forgot to include the link to my working example of the BIRDTRAX thing:

Scroll down below the photo and text list of recent updates to my page
and you will see the functioning birdtrax bird list.

http://priscillanhk.com/updates.html

Priscilla Sokolowski

On Thu, Mar 19, 2015 at 8:05 PM, Mark Nikas <elepaio@xxxxxxxxx> wrote:

> Thanks all for your responses. I thought I might be missing something
> obvious but apparently not. Interesting that an external app can mine eBird
> data better than eBird itself. At least for the folks who enter the data in
> the first place. One more thing to nudge me closer to getting a smart
> phone. I'm pushing back though.
>
> I have used the brute force method of searching for common species to find
> the checklists entered for a specific area. That's how I came up with all
> the pseudonyms for Diamond Hill in the first place. The increasing use of
> coordinates over place names is making this method ever more time consuming
> though.
>
> When it was just place names being used the different place names could be
> merged in a search. When requesting a checklist for Fern Ridge Res. for
> example you could select any or all of the several different hot spots
> scattered around the Fern Ridge area to come up with a more useful list for
> the area (thanks Vjera for showing me how to do that). This method excludes
> data entered under coordinates though.
>
> Mark Nikas
>
> On Thu, Mar 19, 2015 at 7:35 PM, Mike Patterson <celata@xxxxxxxxxxxx>
> wrote:
>
>> One of the as yet to be solved issues regarding eBird data is its
>> lack of easily extractable data at resolutions finer than county.
>> Oregon counties are large and unwieldy unlike East Coast counties
>> where most birders (and apparently most eBird programers) live.
>> Several of us have brought this up (once or twice) in previous
>> eBird discussions....
>>
>> I have mostly used brute-force methods to extract data.  With Bean Goose
>> data, I pulled up the map in "Explore Data > Species maps" and then
>> clicked on every balloon and wrote the info I wanted on a legal pad.  I
>> then put it into a spreadsheet myself.
>>
>> You can probably get a close approximation species list by picking
>> a common species (like Song Sparrow) for a species map and then zooming
>> in to the Diamond Hill area.  You'll still have to hand capture all
>> the lists and you may need to pick more than one common species to get
>> enough lists.
>>
>> You could also go to birdnotes.net and generate a checklist for Diamond
>> Hill wetlands.  But that looks like its mostly populated with data you
>> put there, so it may not add anything...
>>
>> I am told that eBird will eventually have aggregate capacity a finer
>> scales using polygons, but don't expect it any time in the next couple
>> weeks...
>>
>> --
>> Mike Patterson
>> Astoria, OR
>> the CODE
>> http://www.surfbirds.com/community-blogs/northcoastdiaries/?p=2702
>>
>>
>>
>> OBOL archives: www.freelists.org/archive/obol
>> Manage your account or unsubscribe: //www.freelists.org/list/obol
>> Contact moderators: obol-moderators@xxxxxxxxxxxxx
>>
>>
>>
>

Other related posts: