[Talk-in] Small Import of tree tags in Botanical Garden, Mumbai, India

Milind Oka oak444 at gmail.com
Fri Oct 28 04:35:26 UTC 2022


Thanks to all of you for your encouragement.  I am accepting all of your
suggestions, they are indeed complementary to each other.
I will divide the list into three non overlapping sets - 1) the  rare tree
set (around 220 trees) 2)  multiple occurrences of these trees (around 1200
trees) 3)  remaining trees.
Will also divide them further into smaller chunks for convenience and
upload them in stages, Will post the progress regularly in this list and on
openstreetmap-india telegram group. Also will try to do some osm diary
entries.  I will be happy to take help from you whenever required.

At present I have created a few  ods (calc)  files and still working on
them. For example local name should be in native script. this column is
totally  missing in the original list.

My typical entry for merge-upload is like this

natural name species
name:mr latitude longitude
tree Earleaf Acacia Acacia auriculiformis Australian Acacia ऑस्ट्रेलियन
बाभूळ 18.97841124 72.8372430217
tree Baobab Tree Adansonia digitata Gorakh Chinch गोरख चिंच 18.9786334403
72.8351334761

The column without title will not be read by JOSM but I have kept it for
reference.

I have not done any import before. Initially it seemed very difficult to me
but a JOSM import tutorial  at
https://learnosm.org/en/josm/opendata-plugin/  is very helpful and gave me
some confidence. Little confusing is the final merge command. You need to
make import-tag layer active
(and then target the OSM layer in the following popup). If OSM layer is
active, merge command is disabled.

I opened these tag lists number of times and merged them as trial (but of
course not uploaded, I turn off wifi during trials).
The upload dialog showed that only merged tree tags as new edits. The merge
dry run seems to be perfect.

Will try the actual import in couple of days. My friends Tayyab and Pralhad
and Vishwas are also participating. This will definitely speed up the work.
Thanks to them too.

Regards
Milind


On Thu, Oct 27, 2022 at 11:10 PM Suyash Dwivedi <suyash.tps at gmail.com>
wrote:

> Hey Milind
> Its a great useful data :)
> *Regards,*
>
> [image: File:Affiliations Committee logo black.svg]
>
> *Suyash Dwivedi *(He/Him/His)
> *Treasurer**:* Wikimedia Affiliations Committee
> <https://meta.wikimedia.org/wiki/Affiliations_Committee>
> *Vice-Chair:* Commons photographers user Group
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> *Skype*: suyash.india (UTC+05:30) *Telegram:* dwivedi_suyash
> <https://t.me/dwivedi_suyash>
>
>
> On Thu, Oct 27, 2022 at 10:49 PM Arun Ganesh <arun.planemad at gmail.com>
> wrote:
>
>> Since mapping all 4000+ trees may not be a good idea since there are a
>>> huge number (around 3000) of commonly found trees such as banyan, mango,
>>> coconut etc. in the list. Those common trees will make the map
>>> overpopulated (as per my opinion).
>>
>> I have removed those common trees to get another list of about 1000 rare
>>> trees. Further removing duplicates I have finalised a clean list of
>>> distinct 200+ rare trees that will be of interest to all. The accuracy of
>>> the location seems to be satisfactory. (I checked a few coordinates by
>>> actually visiting the place and adding a few tags).
>>
>>
>> To me it seems fine to import it all if the data is good. Its much more
>> convenient for those interested in the dataset to have it available in one
>> place with all the corrections.
>>
>> It's another question if the data is accurate enough. My experience with
>> tree mapping is that its quite hard to get precise location while on the
>> ground due to the tree itself messing with the GPS accuracy. So its
>> probably wise to split it into two phases where the rare trees are done
>> first as a smaller sample.
>>
>> We've had a couple of mapping parties in Bengaluru mapping trees, happy
>> to assist if you hit issues. Documenting the process for the future as a
>> blog post on https://www.openstreetmap.org/diary would be very valuable.
>> There has always been citizen activists interested in mapping trees and
>> this can be a great resource.
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