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Import1.0 locations #93

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petermr opened this issue Aug 6, 2019 · 9 comments
Open

Import1.0 locations #93

petermr opened this issue Aug 6, 2019 · 9 comments
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@petermr
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petermr commented Aug 6, 2019

There are currently the following files with Locations:
https://github.com/gilienv/EssOilDB/blob/master/tables/location/countryNew.csv
this contains resolved coordinates for most locations
but no history Where did the data come from? when?

Other problems:

  • place names should be capitalized (see end of file)
  • encoding problems
  • unique identifiers (suggest ELoc)

The components are not all countries so have renamed the file location.csv

@ambarishK
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ambarishK commented Aug 7, 2019

Sir,

Google map link and coordinates (latitude and longitude) for each Address is assigned manually by me. It was done in the month of JUNE. I fetched all informations online from GOOGLE MAP. Also, I separated address to get state, city and country values. I assigned many country values to available addresses.

All addresses are from the database sheet - infoplant.

@ambarishK
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ambarishK commented Aug 7, 2019

Updated location table with unique ID.

Column details are as follows.

  • ID - Unique location ID e.g ELoc0001234.
  • Address - Full address of experimental location (ExpLoc + City/town + State + Country) .
  • GoogleMapLink - Link of Address value to GOOGLE MAP.
  • Latitude - Latitude coordinate of the Address value.
  • Longitude - Longitude coordinate of the Address value.
  • ExpLoc - Location of experiment.
  • City/town - City or town of Address value.
  • State - State of the Address value.
  • Country - Country of the Address value.

If country is not mentioned into the Address values, it is added by my own (using web search). City/town, State values are obtained from the Address value.

Place names are capitalized.

Encoding is not as of UTF8.

@petermr
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petermr commented Aug 7, 2019 via email

@ambarishK
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ambarishK commented Aug 8, 2019

Yes sir. Each of the names in the locations and read off the google coordinates are manually entered.
As such there was no ambiguities while getting those values. All entries were easily fetched as a simple step of web-search.

Some issues which I find in the present table are as follows.

  • Central Alps - it did not generate search result. It is not part of a single country.

  • Same address is present as multiple entries. e.g -

     Burkina Faso
     Burkina Faso, Africa
    
    Dom Pedrode Alcantara, Brazil
    Dom Pedro de Alcantara, Southern Brazil

There are 878 entries.

@petermr
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petermr commented Aug 8, 2019 via email

@ambarishK
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OK sir.

@ambarishK
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ambarishK commented Aug 13, 2019

Normalized location table.

Total records - 817.

Column details are as follows.

  • ID - Unique location ID e.g ELoc0001234.
  • Address - Full address of experimental location (ExpLoc + City/town + State + Country) .
  • GoogleMapLink - Link of Address value to GOOGLE MAP.
  • Latitude - Latitude coordinate of the Address value.
  • Longitude - Longitude coordinate of the Address value.
  • ExpLoc - Location of experiment.
  • City/town - City or town of Address value.
  • State - State of the Address value.
  • Region - Region to which Address value belongs to (most of them are country of the Address values).

If country is not mentioned into the Address values, it is added by my own (using web search). City/town, State values are obtained from the Address value.

Place names are capitalized.

Encoding is as per UTF8.

@petermr
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petermr commented Aug 13, 2019 via email

@ambarishK
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Sir, resolved all problems related file naming and ID assignment.

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