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High Potential Areas for Agricultural Development in Kenya, 2005, 2006

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Important usage condition: Use and redistribution are governed by CC BY-SA 4.0. Review and comply with the license before using the data.
Persistent identifier
doi:10.60507/FK2/JY93EY
Published version
1.0
Publication date
2023-09-18
License
CC BY-SA 4.0

Description

Using the methodology developed by Graw and Husmann (2014), the map overlays three indicators (high agricultural potential, high poverty mass and high yield gaps) to identify areas with high potential for agricultural development and poverty reduction in Kenya. Data sources and thresholds: Agricultural potential: Suitability of currently available land area for rainfed crops, using maximising crop and technology mix, FGGD map 6.61 (2005), High: top 3 suitability classes (medium high, high and very high) Poverty mass: Number of poor people in Kenya (by district), KIHBS (2005/06), High: >300,000 per district Yield gap: Yield gap for a combination of major crops, FAO/IIASA - GAEZ (2000/05), High: < 0.25 (on a scale from 0-1, with the highest value in Kenya ca. 0.44) District boundaries: Kenya Central Bureau of Statistics (2003) Purpose: The map was generated for PhD research. The dissertation is available online: Baumüller, H. 2015. Agricultural innovation and service delivery through mobile phones: Analyses in Kenya. Thesis at Faculty of Agriculture, University of Bonn. http://hss.ulb.uni-bonn.de/2015/4046/4046.htm.

Creators

Keywords

farming

Files

Before downloading: Use and redistribution are governed by CC BY-SA 4.0. Review and comply with the license before using the data.
FileTypeBytesChecksum
metadata.xmltext/xml26024MD5 d9ebe0a870fc9b34624010faf98543aa
Kenya_highpotentialareas.lpkapplication/octet-stream967885MD5 79b2eb127c3cb513483f8155c9ba3027
csm_TIGA_logo_01_5f5f67c173.pngimage/png28939MD5 e7776fd6acfb7b584a0d5d2b6420fc3a
Kenya_Map.pngimage/png87986MD5 0ca56facbac046473a5614808d0e51c0

Citation

Heike Baumüller, 2023-09-18, High Potential Areas for Agricultural Development in Kenya, 2005, 2006, doi:10.60507/FK2/JY93EY, V1.0

Additional Dataverse fields

Id65
Dataset Typedataset
Internal Version Number8
Latest Version Publishing StateRELEASED
Deaccession LinkNot supplied
Release Time2023-09-18T10:31:14Z
Create Time2023-09-18T08:54:09Z
Citation Date2023-09-18
File Access RequestTrue

Export metadata

Static metadata exports available for this published dataset version:

Complete Dataverse metadata

Citation Metadata

Title title
High Potential Areas for Agricultural Development in Kenya, 2005, 2006
Other Id otherId
  1. Other Id Agency
    ZEF Data Portal
    Other Id Value
    441ec051-f066-4129-ac8e-129fb53eb5a8
Author author
  1. Author Name
    Heike Baumüller
    Author Affiliation
    Center for Development Research, Department Economy and Technological Change (ZEF B), University of Bonn
Dataset Contact datasetContact
  1. Dataset Contact Name
    Heike Baumüller
    Dataset Contact Affiliation
    Center for Development Research, Department Economy and Technological Change (ZEF B), University of Bonn
    Dataset Contact Email
    forschungsdaten@uni-bonn.de
Ds Description dsDescription
  1. Ds Description Value
    Using the methodology developed by Graw and Husmann (2014), the map overlays three indicators (high agricultural potential, high poverty mass and high yield gaps) to identify areas with high potential for agricultural development and poverty reduction in Kenya. Data sources and thresholds: Agricultural potential: Suitability of currently available land area for rainfed crops, using maximising crop and technology mix, FGGD map 6.61 (2005), High: top 3 suitability classes (medium high, high and very high) Poverty mass: Number of poor people in Kenya (by district), KIHBS (2005/06), High: >300,000 per district Yield gap: Yield gap for a combination of major crops, FAO/IIASA - GAEZ (2000/05), High: < 0.25 (on a scale from 0-1, with the highest value in Kenya ca. 0.44) District boundaries: Kenya Central Bureau of Statistics (2003) Purpose: The map was generated for PhD research. The dissertation is available online: Baumüller, H. 2015. Agricultural innovation and service delivery through mobile phones: Analyses in Kenya. Thesis at Faculty of Agriculture, University of Bonn. http://hss.ulb.uni-bonn.de/2015/4046/4046.htm.
Subject subject
  1. Other
Subject Refinement subjectRefinement
  1. Subject Refinement Value
    farming
Free Keyword freeKeyword
  1. Free Keyword Value
    farming
Topic Classification topicClassification
  1. Topic Class Value
    TIGA
    Topic Class Vocab
    Research Project
  2. Topic Class Value
    commercialisation
    Topic Class Vocab
    GEMET - Concepts, version 2.4
  3. Topic Class Value
    poverty
    Topic Class Vocab
    GEMET - Concepts, version 2.4
  4. Topic Class Value
    arable farming
    Topic Class Vocab
    GEMET - Concepts, version 2.4
  5. Topic Class Value
    yield (agricultural)
    Topic Class Vocab
    GEMET - Concepts, version 2.4
Notes Text notesText
This dataset was first published on the institutional Repository "Zentrum für Entwicklungsforschung: ZEF Data Portal" with ID={441ec051-f066-4129-ac8e-129fb53eb5a8}.
Language language
  1. English
Time Period Covered timePeriodCovered
  1. Time Period Covered Start
    2005-01-01
    Time Period Covered End
    2006-12-31
Date Of Collection dateOfCollection
  1. Date Of Collection Start
    2005-12-20T00:00:00
    Date Of Collection End
    2005-12-20T00:00:00
  2. Date Of Collection Start
    2006-12-19
    Date Of Collection End
    2006-12-19
Other References otherReferences
  1. Data obtained from FGGD, KIHBS, FAO/IIASA and WRI.

Geospatial Metadata

Geographic Coverage geographicCoverage
  1. Country
    Kenya
Geographic Bounding Box geographicBoundingBox
  1. West Longitude
    33.013946553749115
    East Longitude
    43.2971496773181
    North Latitude
    5.717268357209241
    South Latitude
    -5.514685671170192
Coordinate Reference System CoordinateReferenceSystem
Coordinate Reference System.code
EPSG:4326

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