Announcement

Collapse
No announcement yet.
X
  • Filter
  • Time
  • Show
Clear All
new posts

  • Combining Shapefiles and the households survey data

    Hello!
    I am working with the household survey with the Household Geocodes displaced at 10km buffer and an external shapefile. I converted a shapefile from a raster file using QGIS and also used a stata command “shp2dta” to convert the shapefile into dta files. I would like to march the information stored in the variable “DN” to the nearest household. I understand that the command “geonear” can be used to calculate the nearest distance and then merge the data.

    However, I am facing some difficulty in executing the task.
    (1) One when I merge the file tz_data(shp) and tz_coordinates created by shp2dta file a lot of missing is generated.

    (2) If I try to use the command “geonear ea_id lat_modified lon_modified using "Tz_coordinates.dta", n(_ID _X _Y)” the following error appears: “lat_modified or lon_modified not constant within ea_id group”. I also tried to use “geoinpoly lat_dd_mod lon_dd_mod using "Tanzania_coordinates.dta” command stata gives me the following error: Y (latitude) must be between -90 and 90 in coordinates file.
    Could you please assist me on how I can go about it?.

    Here is the sample of the data that I am using: The first and second is the shapefile and database file generated by “shp2dta”. and the last codes is for the household survey data.

    Code:
    * Example generated by -dataex-. To install: ssc install dataex
    clear
    input long _ID double _X
    1                  .
    1 -647509.5603336413
    1 -647259.5711087444
    1 -647259.5711087444
    1 -647509.5603336413
    1 -647509.5603336413
    2                  .
    2 -646009.6249842601
    2 -645759.6357593632
    2 -645759.6357593632
    2 -646009.6249842601
    2 -646009.6249842601
    3                  .
    3 -637260.0021128698
    3 -636760.0236630761
    3 -636760.0236630761
    3 -637260.0021128698
    3 -637260.0021128698
    4                  .
    4 -636010.0559883855
    4 -635260.0883136949
    4 -635260.0883136949
    4 -636010.0559883855
    4 -636010.0559883855
    5                  .
    5 -633010.1852896231
    5 -632760.1960647262
    5 -632760.1960647262
    5 -633010.1852896231
    5 -633010.1852896231
    end

    Code:
    * Example generated by -dataex-. To install: ssc install dataex
    clear
    input long _ID byte DN
     1 51
     2 51
     3 22
     4 22
     5 51
     6 44
     7 44
     8 51
     9 51
    10 51
    11 58
    12 58
    13 32
    14 58
    15 69
    16 29
    17 51
    18 58
    19 44
    20 25
    21 58
    22 58
    23 58
    24 58
    25 76
    26 76
    27 69
    28 58
    29 58
    30 58
    end






    Code:
    * Example generated by -dataex-. To install: ssc install dataex
    clear
    input str8 y3_hhid double(lat_dd_mod lon_dd_mod) int(crops01 crops02)
    "0001-001" -5.08575059837 35.8543891943 557 370
    "0002-001" -5.08575059837 35.8543891943 557 370
    "0003-001" -5.08575059837 35.8543891943 557 370
    "0003-010" -6.86088773309 39.2519840813 756 458
    "0005-001" -5.08575059837 35.8543891943 557 370
    "0006-001" -5.08575059837 35.8543891943 557 370
    "0007-001" -5.08575059837 35.8543891943 557 370
    "0008-001" -5.08575059837 35.8543891943 557 370
    "0009-001" -5.08575059837 35.8543891943 557 370
    "0010-001" -6.45661888376 36.7228609724 619 442
    "0011-001" -6.45661888376 36.7228609724 619 442
    "0011-004" -6.40602581971 36.8375470998 645 429
    "0012-001" -6.45661888376 36.7228609724 619 442
    "0013-001" -6.45661888376 36.7228609724 619 442
    "0014-001" -6.45661888376 36.7228609724 619 442
    "0014-007" -6.45661888376 36.7228609724 619 442
    "0015-001" -6.98727510065 36.8989578038 646 430
    "0016-001" -6.45661888376 36.7228609724 619 442
    "0017-001" -6.45661888376 36.7228609724 645 429
    "0018-001" -6.45661888376 36.7228609724 621 435
    "0019-001"  -6.6140094868  36.508662736 539 397
    "0019-003"  -6.6140094868  36.508662736 539 397
    "0020-001" -6.65111878938  36.385741194 524 388
    "0021-001"  -6.6140094868  36.508662736 539 397
    "0022-001"  -6.6140094868  36.508662736 539 397
    "0023-001"  -6.6140094868  36.508662736 539 397
    "0024-001"  -6.6140094868  36.508662736 539 397
    "0025-001" -6.71165256022 38.7421347251 828 533
    "0026-001"  -6.6140094868  36.508662736 539 397
    "0027-001"  -6.6140094868  36.508662736 539 397
    end

Working...
X