Dataset: Spatial Data Starter Kit for OnSSET Energy Planning in Kitui County, Kenya Article Swipe
Daniel Mutia Mwendwa
,
Jeffrey Tchouambe
,
Emily Hu
,
Micaela Flores Lanza
,
Andrea Babic Brener
,
Gyubin Hwang
,
Layla Khanfar
,
Alycia Leonard
,
Stephanie Hirmer
,
Malcolm T. McCulloch
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.5281/zenodo.7075699
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.5281/zenodo.7075699
This is a set of openly-available data pre-processed to facilitate county-level energy planning using the Open Source Spatial Electrification Tool (OnSSET) in Kitui County, Kenya. It provides a ready-to-use starter kit of data inputs for county-level OnSSET analysis. The work to identify these data is submitted for publication - publication details will be added here as soon as possible upon release. These data are contained in spatial data files used to create the input for OnSSET in Kitui, and a prepared CSV data input for OnSSET in Kitui (kitui_OnSSET_data). The following spatial data files are included in the dataset: kitui_admin: A vector (.geojson) file containing the administrative boundaries of Kitui county. kitui_clusters: A vector (.geojson) file locating population clusters generated in data processing for OnSSET. kitui_demand: A raster (.tif) file containing merged health, agriculture, commercial, and residential demands for Kitui county in kWh. kitui_elevation: A raster (.tif) containing elevation information. kitui_GHI: A raster (.tif) file containing global horizontal irradiance data for Kitui county. kitui_hydro: A vector (.geojson) file containing the locations of hydropower stations in Kitui county. Note that there are none, and that this is expected. kitui_night_lights: A raster (.tif) file capturing the light emitted from Kitui county at night. kitui_power_stations: A vector (.geojson) file showing the locations of power stations in Kitui county. kitui_roads: A vector (.geojson) file showing the main roadways in Kitui county. kitui_transformers: A vector (.geojson) file showing transformer locations in Kitui county. kitui_transmission_lines: A vector (.geojson) file locating transmission lines in Kitui county. kitui_travel_hours: A raster (.tif) file showing travel time to the nearest market center in Kitui county. kitui_wind_100: A raster (.tif) file of wind speeds at 100 m in Kitui county. This dataset has been produced through work undertaken in the Climate Compatible Growth Programme.
Related Topics
Metadata
- Type
- dataset
- Language
- en
- Landing Page
- https://zenodo.org/record/7075699
- OA Status
- green
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4393702950
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4393702950Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.5281/zenodo.7075699Digital Object Identifier
- Title
-
Dataset: Spatial Data Starter Kit for OnSSET Energy Planning in Kitui County, KenyaWork title
- Type
-
datasetOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2022Year of publication
- Publication date
-
2022-09-13Full publication date if available
- Authors
-
Daniel Mutia Mwendwa, Jeffrey Tchouambe, Emily Hu, Micaela Flores Lanza, Andrea Babic Brener, Gyubin Hwang, Layla Khanfar, Alycia Leonard, Stephanie Hirmer, Malcolm T. McCullochList of authors in order
- Landing page
-
https://zenodo.org/record/7075699Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://zenodo.org/record/7075699Direct OA link when available
- Concepts
-
Starter, Geography, Computer science, Engineering, Automotive engineeringTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
0Total citation count in OpenAlex
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W4393702950 |
|---|---|
| doi | https://doi.org/10.5281/zenodo.7075699 |
| ids.doi | https://doi.org/10.5281/zenodo.7075699 |
| ids.openalex | https://openalex.org/W4393702950 |
| fwci | |
| type | dataset |
| title | Dataset: Spatial Data Starter Kit for OnSSET Energy Planning in Kitui County, Kenya |
| biblio.issue | |
| biblio.volume | |
| biblio.last_page | |
| biblio.first_page | |
| topics[0].id | https://openalex.org/T13194 |
| topics[0].field.id | https://openalex.org/fields/17 |
| topics[0].field.display_name | Computer Science |
| topics[0].score | 0.9577999711036682 |
| topics[0].domain.id | https://openalex.org/domains/3 |
| topics[0].domain.display_name | Physical Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/1710 |
| topics[0].subfield.display_name | Information Systems |
| topics[0].display_name | ICT in Developing Communities |
| is_xpac | False |
| apc_list | |
| apc_paid | |
| concepts[0].id | https://openalex.org/C2777176278 |
| concepts[0].level | 2 |
| concepts[0].score | 0.695399284362793 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q557828 |
| concepts[0].display_name | Starter |
| concepts[1].id | https://openalex.org/C205649164 |
| concepts[1].level | 0 |
| concepts[1].score | 0.4369737207889557 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q1071 |
| concepts[1].display_name | Geography |
| concepts[2].id | https://openalex.org/C41008148 |
| concepts[2].level | 0 |
| concepts[2].score | 0.3376310467720032 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[2].display_name | Computer science |
| concepts[3].id | https://openalex.org/C127413603 |
| concepts[3].level | 0 |
| concepts[3].score | 0.1197068989276886 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q11023 |
| concepts[3].display_name | Engineering |
| concepts[4].id | https://openalex.org/C171146098 |
| concepts[4].level | 1 |
| concepts[4].score | 0.05339902639389038 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q124192 |
| concepts[4].display_name | Automotive engineering |
| keywords[0].id | https://openalex.org/keywords/starter |
| keywords[0].score | 0.695399284362793 |
| keywords[0].display_name | Starter |
| keywords[1].id | https://openalex.org/keywords/geography |
| keywords[1].score | 0.4369737207889557 |
| keywords[1].display_name | Geography |
| keywords[2].id | https://openalex.org/keywords/computer-science |
| keywords[2].score | 0.3376310467720032 |
| keywords[2].display_name | Computer science |
| keywords[3].id | https://openalex.org/keywords/engineering |
| keywords[3].score | 0.1197068989276886 |
| keywords[3].display_name | Engineering |
| keywords[4].id | https://openalex.org/keywords/automotive-engineering |
| keywords[4].score | 0.05339902639389038 |
| keywords[4].display_name | Automotive engineering |
| language | en |
| locations[0].id | pmh:oai:zenodo.org:7075699 |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S4306400562 |
| locations[0].source.issn | |
| locations[0].source.type | repository |
| locations[0].source.is_oa | True |
| locations[0].source.issn_l | |
| locations[0].source.is_core | False |
| locations[0].source.is_in_doaj | False |
| locations[0].source.display_name | Zenodo (CERN European Organization for Nuclear Research) |
| locations[0].source.host_organization | https://openalex.org/I67311998 |
| locations[0].source.host_organization_name | European Organization for Nuclear Research |
| locations[0].source.host_organization_lineage | https://openalex.org/I67311998 |
| locations[0].license | other-oa |
| locations[0].pdf_url | |
| locations[0].version | submittedVersion |
| locations[0].raw_type | info:eu-repo/semantics/other |
| locations[0].license_id | https://openalex.org/licenses/other-oa |
| locations[0].is_accepted | False |
| locations[0].is_published | False |
| locations[0].raw_source_name | |
| locations[0].landing_page_url | https://zenodo.org/record/7075699 |
| locations[1].id | doi:10.5281/zenodo.7075699 |
| locations[1].is_oa | True |
| locations[1].source.id | https://openalex.org/S4306400562 |
| locations[1].source.issn | |
| locations[1].source.type | repository |
| locations[1].source.is_oa | True |
| locations[1].source.issn_l | |
| locations[1].source.is_core | False |
| locations[1].source.is_in_doaj | False |
| locations[1].source.display_name | Zenodo (CERN European Organization for Nuclear Research) |
| locations[1].source.host_organization | https://openalex.org/I67311998 |
| locations[1].source.host_organization_name | European Organization for Nuclear Research |
| locations[1].source.host_organization_lineage | https://openalex.org/I67311998 |
| locations[1].license | cc-by |
| locations[1].pdf_url | |
| locations[1].version | |
| locations[1].raw_type | dataset |
| locations[1].license_id | https://openalex.org/licenses/cc-by |
| locations[1].is_accepted | False |
| locations[1].is_published | |
| locations[1].raw_source_name | |
| locations[1].landing_page_url | https://doi.org/10.5281/zenodo.7075699 |
| indexed_in | datacite |
| authorships[0].author.id | https://openalex.org/A5029884907 |
| authorships[0].author.orcid | https://orcid.org/0000-0002-6500-9714 |
| authorships[0].author.display_name | Daniel Mutia Mwendwa |
| authorships[0].countries | GB |
| authorships[0].affiliations[0].institution_ids | https://openalex.org/I40120149 |
| authorships[0].affiliations[0].raw_affiliation_string | University of Oxford |
| authorships[0].institutions[0].id | https://openalex.org/I40120149 |
| authorships[0].institutions[0].ror | https://ror.org/052gg0110 |
| authorships[0].institutions[0].type | education |
| authorships[0].institutions[0].lineage | https://openalex.org/I40120149 |
| authorships[0].institutions[0].country_code | GB |
| authorships[0].institutions[0].display_name | University of Oxford |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Daniel Mutia Mwendwa |
| authorships[0].is_corresponding | False |
| authorships[0].raw_affiliation_strings | University of Oxford |
| authorships[1].author.id | https://openalex.org/A5020385230 |
| authorships[1].author.orcid | |
| authorships[1].author.display_name | Jeffrey Tchouambe |
| authorships[1].countries | GB |
| authorships[1].affiliations[0].institution_ids | https://openalex.org/I40120149 |
| authorships[1].affiliations[0].raw_affiliation_string | University of Oxford |
| authorships[1].institutions[0].id | https://openalex.org/I40120149 |
| authorships[1].institutions[0].ror | https://ror.org/052gg0110 |
| authorships[1].institutions[0].type | education |
| authorships[1].institutions[0].lineage | https://openalex.org/I40120149 |
| authorships[1].institutions[0].country_code | GB |
| authorships[1].institutions[0].display_name | University of Oxford |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Jeffrey Tchouambe |
| authorships[1].is_corresponding | False |
| authorships[1].raw_affiliation_strings | University of Oxford |
| authorships[2].author.id | https://openalex.org/A5016709753 |
| authorships[2].author.orcid | https://orcid.org/0000-0002-2299-4072 |
| authorships[2].author.display_name | Emily Hu |
| authorships[2].countries | GB |
| authorships[2].affiliations[0].institution_ids | https://openalex.org/I40120149 |
| authorships[2].affiliations[0].raw_affiliation_string | University of Oxford |
| authorships[2].institutions[0].id | https://openalex.org/I40120149 |
| authorships[2].institutions[0].ror | https://ror.org/052gg0110 |
| authorships[2].institutions[0].type | education |
| authorships[2].institutions[0].lineage | https://openalex.org/I40120149 |
| authorships[2].institutions[0].country_code | GB |
| authorships[2].institutions[0].display_name | University of Oxford |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | Emily Hu |
| authorships[2].is_corresponding | False |
| authorships[2].raw_affiliation_strings | University of Oxford |
| authorships[3].author.id | https://openalex.org/A5031322580 |
| authorships[3].author.orcid | |
| authorships[3].author.display_name | Micaela Flores Lanza |
| authorships[3].countries | GB |
| authorships[3].affiliations[0].institution_ids | https://openalex.org/I40120149 |
| authorships[3].affiliations[0].raw_affiliation_string | University of Oxford |
| authorships[3].institutions[0].id | https://openalex.org/I40120149 |
| authorships[3].institutions[0].ror | https://ror.org/052gg0110 |
| authorships[3].institutions[0].type | education |
| authorships[3].institutions[0].lineage | https://openalex.org/I40120149 |
| authorships[3].institutions[0].country_code | GB |
| authorships[3].institutions[0].display_name | University of Oxford |
| authorships[3].author_position | middle |
| authorships[3].raw_author_name | Micaela Flores Lanza |
| authorships[3].is_corresponding | False |
| authorships[3].raw_affiliation_strings | University of Oxford |
| authorships[4].author.id | https://openalex.org/A5091021953 |
| authorships[4].author.orcid | |
| authorships[4].author.display_name | Andrea Babic Brener |
| authorships[4].countries | GB |
| authorships[4].affiliations[0].institution_ids | https://openalex.org/I40120149 |
| authorships[4].affiliations[0].raw_affiliation_string | University of Oxford |
| authorships[4].institutions[0].id | https://openalex.org/I40120149 |
| authorships[4].institutions[0].ror | https://ror.org/052gg0110 |
| authorships[4].institutions[0].type | education |
| authorships[4].institutions[0].lineage | https://openalex.org/I40120149 |
| authorships[4].institutions[0].country_code | GB |
| authorships[4].institutions[0].display_name | University of Oxford |
| authorships[4].author_position | middle |
| authorships[4].raw_author_name | Andrea Babic Brener |
| authorships[4].is_corresponding | False |
| authorships[4].raw_affiliation_strings | University of Oxford |
| authorships[5].author.id | https://openalex.org/A5036574970 |
| authorships[5].author.orcid | |
| authorships[5].author.display_name | Gyubin Hwang |
| authorships[5].countries | GB |
| authorships[5].affiliations[0].institution_ids | https://openalex.org/I40120149 |
| authorships[5].affiliations[0].raw_affiliation_string | University of Oxford |
| authorships[5].institutions[0].id | https://openalex.org/I40120149 |
| authorships[5].institutions[0].ror | https://ror.org/052gg0110 |
| authorships[5].institutions[0].type | education |
| authorships[5].institutions[0].lineage | https://openalex.org/I40120149 |
| authorships[5].institutions[0].country_code | GB |
| authorships[5].institutions[0].display_name | University of Oxford |
| authorships[5].author_position | middle |
| authorships[5].raw_author_name | Gyubin Hwang |
| authorships[5].is_corresponding | False |
| authorships[5].raw_affiliation_strings | University of Oxford |
| authorships[6].author.id | https://openalex.org/A5052748841 |
| authorships[6].author.orcid | |
| authorships[6].author.display_name | Layla Khanfar |
| authorships[6].countries | GB |
| authorships[6].affiliations[0].institution_ids | https://openalex.org/I40120149 |
| authorships[6].affiliations[0].raw_affiliation_string | University of Oxford |
| authorships[6].institutions[0].id | https://openalex.org/I40120149 |
| authorships[6].institutions[0].ror | https://ror.org/052gg0110 |
| authorships[6].institutions[0].type | education |
| authorships[6].institutions[0].lineage | https://openalex.org/I40120149 |
| authorships[6].institutions[0].country_code | GB |
| authorships[6].institutions[0].display_name | University of Oxford |
| authorships[6].author_position | middle |
| authorships[6].raw_author_name | Layla Khanfar |
| authorships[6].is_corresponding | False |
| authorships[6].raw_affiliation_strings | University of Oxford |
| authorships[7].author.id | https://openalex.org/A5068109082 |
| authorships[7].author.orcid | https://orcid.org/0000-0002-7072-9150 |
| authorships[7].author.display_name | Alycia Leonard |
| authorships[7].countries | GB |
| authorships[7].affiliations[0].institution_ids | https://openalex.org/I40120149 |
| authorships[7].affiliations[0].raw_affiliation_string | University of Oxford |
| authorships[7].institutions[0].id | https://openalex.org/I40120149 |
| authorships[7].institutions[0].ror | https://ror.org/052gg0110 |
| authorships[7].institutions[0].type | education |
| authorships[7].institutions[0].lineage | https://openalex.org/I40120149 |
| authorships[7].institutions[0].country_code | GB |
| authorships[7].institutions[0].display_name | University of Oxford |
| authorships[7].author_position | middle |
| authorships[7].raw_author_name | Alycia Leonard |
| authorships[7].is_corresponding | False |
| authorships[7].raw_affiliation_strings | University of Oxford |
| authorships[8].author.id | https://openalex.org/A5058771330 |
| authorships[8].author.orcid | https://orcid.org/0000-0001-7628-9259 |
| authorships[8].author.display_name | Stephanie Hirmer |
| authorships[8].countries | GB |
| authorships[8].affiliations[0].institution_ids | https://openalex.org/I40120149 |
| authorships[8].affiliations[0].raw_affiliation_string | University of Oxford |
| authorships[8].institutions[0].id | https://openalex.org/I40120149 |
| authorships[8].institutions[0].ror | https://ror.org/052gg0110 |
| authorships[8].institutions[0].type | education |
| authorships[8].institutions[0].lineage | https://openalex.org/I40120149 |
| authorships[8].institutions[0].country_code | GB |
| authorships[8].institutions[0].display_name | University of Oxford |
| authorships[8].author_position | middle |
| authorships[8].raw_author_name | Stephanie Hirmer |
| authorships[8].is_corresponding | False |
| authorships[8].raw_affiliation_strings | University of Oxford |
| authorships[9].author.id | https://openalex.org/A5006431613 |
| authorships[9].author.orcid | https://orcid.org/0000-0003-1538-1558 |
| authorships[9].author.display_name | Malcolm T. McCulloch |
| authorships[9].countries | GB |
| authorships[9].affiliations[0].institution_ids | https://openalex.org/I40120149 |
| authorships[9].affiliations[0].raw_affiliation_string | University of Oxford |
| authorships[9].institutions[0].id | https://openalex.org/I40120149 |
| authorships[9].institutions[0].ror | https://ror.org/052gg0110 |
| authorships[9].institutions[0].type | education |
| authorships[9].institutions[0].lineage | https://openalex.org/I40120149 |
| authorships[9].institutions[0].country_code | GB |
| authorships[9].institutions[0].display_name | University of Oxford |
| authorships[9].author_position | last |
| authorships[9].raw_author_name | Malcolm McCulloch |
| authorships[9].is_corresponding | False |
| authorships[9].raw_affiliation_strings | University of Oxford |
| has_content.pdf | False |
| has_content.grobid_xml | False |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://zenodo.org/record/7075699 |
| open_access.oa_status | green |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | Dataset: Spatial Data Starter Kit for OnSSET Energy Planning in Kitui County, Kenya |
| has_fulltext | False |
| is_retracted | False |
| updated_date | 2025-11-06T06:51:31.235846 |
| primary_topic.id | https://openalex.org/T13194 |
| primary_topic.field.id | https://openalex.org/fields/17 |
| primary_topic.field.display_name | Computer Science |
| primary_topic.score | 0.9577999711036682 |
| primary_topic.domain.id | https://openalex.org/domains/3 |
| primary_topic.domain.display_name | Physical Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/1710 |
| primary_topic.subfield.display_name | Information Systems |
| primary_topic.display_name | ICT in Developing Communities |
| related_works | https://openalex.org/W2748952813, https://openalex.org/W2393376086, https://openalex.org/W4238526718, https://openalex.org/W1851196291, https://openalex.org/W2359817999, https://openalex.org/W2390127558, https://openalex.org/W2224238884, https://openalex.org/W3217471929, https://openalex.org/W2130384922, https://openalex.org/W2371489450 |
| cited_by_count | 0 |
| locations_count | 2 |
| best_oa_location.id | pmh:oai:zenodo.org:7075699 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S4306400562 |
| best_oa_location.source.issn | |
| best_oa_location.source.type | repository |
| best_oa_location.source.is_oa | True |
| best_oa_location.source.issn_l | |
| best_oa_location.source.is_core | False |
| best_oa_location.source.is_in_doaj | False |
| best_oa_location.source.display_name | Zenodo (CERN European Organization for Nuclear Research) |
| best_oa_location.source.host_organization | https://openalex.org/I67311998 |
| best_oa_location.source.host_organization_name | European Organization for Nuclear Research |
| best_oa_location.source.host_organization_lineage | https://openalex.org/I67311998 |
| best_oa_location.license | other-oa |
| best_oa_location.pdf_url | |
| best_oa_location.version | submittedVersion |
| best_oa_location.raw_type | info:eu-repo/semantics/other |
| best_oa_location.license_id | https://openalex.org/licenses/other-oa |
| best_oa_location.is_accepted | False |
| best_oa_location.is_published | False |
| best_oa_location.raw_source_name | |
| best_oa_location.landing_page_url | https://zenodo.org/record/7075699 |
| primary_location.id | pmh:oai:zenodo.org:7075699 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S4306400562 |
| primary_location.source.issn | |
| primary_location.source.type | repository |
| primary_location.source.is_oa | True |
| primary_location.source.issn_l | |
| primary_location.source.is_core | False |
| primary_location.source.is_in_doaj | False |
| primary_location.source.display_name | Zenodo (CERN European Organization for Nuclear Research) |
| primary_location.source.host_organization | https://openalex.org/I67311998 |
| primary_location.source.host_organization_name | European Organization for Nuclear Research |
| primary_location.source.host_organization_lineage | https://openalex.org/I67311998 |
| primary_location.license | other-oa |
| primary_location.pdf_url | |
| primary_location.version | submittedVersion |
| primary_location.raw_type | info:eu-repo/semantics/other |
| primary_location.license_id | https://openalex.org/licenses/other-oa |
| primary_location.is_accepted | False |
| primary_location.is_published | False |
| primary_location.raw_source_name | |
| primary_location.landing_page_url | https://zenodo.org/record/7075699 |
| publication_date | 2022-09-13 |
| publication_year | 2022 |
| referenced_works_count | 0 |
| abstract_inverted_index.- | 48 |
| abstract_inverted_index.A | 100, 112, 126, 144, 151, 164, 188, 202, 216, 228, 239, 250, 266 |
| abstract_inverted_index.a | 2, 27, 79 |
| abstract_inverted_index.m | 275 |
| abstract_inverted_index.It | 25 |
| abstract_inverted_index.as | 55, 57 |
| abstract_inverted_index.at | 199, 273 |
| abstract_inverted_index.be | 52 |
| abstract_inverted_index.in | 21, 65, 76, 86, 96, 120, 141, 174, 212, 224, 235, 246, 262, 276, 287 |
| abstract_inverted_index.is | 1, 44, 185 |
| abstract_inverted_index.of | 4, 31, 108, 171, 209, 270 |
| abstract_inverted_index.to | 8, 40, 70, 257 |
| abstract_inverted_index.100 | 274 |
| abstract_inverted_index.CSV | 81 |
| abstract_inverted_index.The | 38, 89 |
| abstract_inverted_index.and | 78, 135, 182 |
| abstract_inverted_index.are | 63, 94, 180 |
| abstract_inverted_index.for | 34, 46, 74, 84, 123, 138, 160 |
| abstract_inverted_index.has | 281 |
| abstract_inverted_index.kit | 30 |
| abstract_inverted_index.set | 3 |
| abstract_inverted_index.the | 14, 72, 97, 105, 169, 193, 207, 221, 258, 288 |
| abstract_inverted_index.Note | 177 |
| abstract_inverted_index.Open | 15 |
| abstract_inverted_index.This | 0, 279 |
| abstract_inverted_index.Tool | 19 |
| abstract_inverted_index.been | 282 |
| abstract_inverted_index.data | 6, 32, 43, 62, 67, 82, 92, 121, 159 |
| abstract_inverted_index.file | 103, 115, 129, 154, 167, 191, 205, 219, 231, 242, 253, 269 |
| abstract_inverted_index.from | 196 |
| abstract_inverted_index.here | 54 |
| abstract_inverted_index.kWh. | 142 |
| abstract_inverted_index.main | 222 |
| abstract_inverted_index.soon | 56 |
| abstract_inverted_index.that | 178, 183 |
| abstract_inverted_index.this | 184 |
| abstract_inverted_index.time | 256 |
| abstract_inverted_index.upon | 59 |
| abstract_inverted_index.used | 69 |
| abstract_inverted_index.will | 51 |
| abstract_inverted_index.wind | 271 |
| abstract_inverted_index.work | 39, 285 |
| abstract_inverted_index.Kitui | 22, 87, 109, 139, 161, 175, 197, 213, 225, 236, 247, 263, 277 |
| abstract_inverted_index.These | 61 |
| abstract_inverted_index.added | 53 |
| abstract_inverted_index.files | 68, 93 |
| abstract_inverted_index.input | 73, 83 |
| abstract_inverted_index.light | 194 |
| abstract_inverted_index.lines | 245 |
| abstract_inverted_index.none, | 181 |
| abstract_inverted_index.power | 210 |
| abstract_inverted_index.there | 179 |
| abstract_inverted_index.these | 42 |
| abstract_inverted_index.using | 13 |
| abstract_inverted_index.(.tif) | 128, 146, 153, 190, 252, 268 |
| abstract_inverted_index.Growth | 291 |
| abstract_inverted_index.Kenya. | 24 |
| abstract_inverted_index.Kitui, | 77 |
| abstract_inverted_index.OnSSET | 36, 75, 85 |
| abstract_inverted_index.Source | 16 |
| abstract_inverted_index.center | 261 |
| abstract_inverted_index.county | 140, 198 |
| abstract_inverted_index.create | 71 |
| abstract_inverted_index.energy | 11 |
| abstract_inverted_index.global | 156 |
| abstract_inverted_index.inputs | 33 |
| abstract_inverted_index.market | 260 |
| abstract_inverted_index.merged | 131 |
| abstract_inverted_index.night. | 200 |
| abstract_inverted_index.raster | 127, 145, 152, 189, 251, 267 |
| abstract_inverted_index.speeds | 272 |
| abstract_inverted_index.travel | 255 |
| abstract_inverted_index.vector | 101, 113, 165, 203, 217, 229, 240 |
| abstract_inverted_index.Climate | 289 |
| abstract_inverted_index.County, | 23 |
| abstract_inverted_index.OnSSET. | 124 |
| abstract_inverted_index.Spatial | 17 |
| abstract_inverted_index.county. | 110, 162, 176, 214, 226, 237, 248, 264, 278 |
| abstract_inverted_index.dataset | 280 |
| abstract_inverted_index.demands | 137 |
| abstract_inverted_index.details | 50 |
| abstract_inverted_index.emitted | 195 |
| abstract_inverted_index.health, | 132 |
| abstract_inverted_index.nearest | 259 |
| abstract_inverted_index.showing | 206, 220, 232, 254 |
| abstract_inverted_index.spatial | 66, 91 |
| abstract_inverted_index.starter | 29 |
| abstract_inverted_index.through | 284 |
| abstract_inverted_index.(OnSSET) | 20 |
| abstract_inverted_index.clusters | 118 |
| abstract_inverted_index.dataset: | 98 |
| abstract_inverted_index.identify | 41 |
| abstract_inverted_index.included | 95 |
| abstract_inverted_index.locating | 116, 243 |
| abstract_inverted_index.planning | 12 |
| abstract_inverted_index.possible | 58 |
| abstract_inverted_index.prepared | 80 |
| abstract_inverted_index.produced | 283 |
| abstract_inverted_index.provides | 26 |
| abstract_inverted_index.release. | 60 |
| abstract_inverted_index.roadways | 223 |
| abstract_inverted_index.stations | 173, 211 |
| abstract_inverted_index.analysis. | 37 |
| abstract_inverted_index.capturing | 192 |
| abstract_inverted_index.contained | 64 |
| abstract_inverted_index.elevation | 148 |
| abstract_inverted_index.expected. | 186 |
| abstract_inverted_index.following | 90 |
| abstract_inverted_index.generated | 119 |
| abstract_inverted_index.locations | 170, 208, 234 |
| abstract_inverted_index.submitted | 45 |
| abstract_inverted_index.(.geojson) | 102, 114, 166, 204, 218, 230, 241 |
| abstract_inverted_index.Compatible | 290 |
| abstract_inverted_index.Programme. | 292 |
| abstract_inverted_index.boundaries | 107 |
| abstract_inverted_index.containing | 104, 130, 147, 155, 168 |
| abstract_inverted_index.facilitate | 9 |
| abstract_inverted_index.horizontal | 157 |
| abstract_inverted_index.hydropower | 172 |
| abstract_inverted_index.irradiance | 158 |
| abstract_inverted_index.kitui_GHI: | 150 |
| abstract_inverted_index.population | 117 |
| abstract_inverted_index.processing | 122 |
| abstract_inverted_index.undertaken | 286 |
| abstract_inverted_index.commercial, | 134 |
| abstract_inverted_index.publication | 47, 49 |
| abstract_inverted_index.residential | 136 |
| abstract_inverted_index.transformer | 233 |
| abstract_inverted_index.agriculture, | 133 |
| abstract_inverted_index.county-level | 10, 35 |
| abstract_inverted_index.information. | 149 |
| abstract_inverted_index.kitui_admin: | 99 |
| abstract_inverted_index.kitui_hydro: | 163 |
| abstract_inverted_index.kitui_roads: | 215 |
| abstract_inverted_index.ready-to-use | 28 |
| abstract_inverted_index.transmission | 244 |
| abstract_inverted_index.kitui_demand: | 125 |
| abstract_inverted_index.pre-processed | 7 |
| abstract_inverted_index.administrative | 106 |
| abstract_inverted_index.Electrification | 18 |
| abstract_inverted_index.kitui_clusters: | 111 |
| abstract_inverted_index.kitui_wind_100: | 265 |
| abstract_inverted_index.kitui_elevation: | 143 |
| abstract_inverted_index.openly-available | 5 |
| abstract_inverted_index.kitui_night_lights: | 187 |
| abstract_inverted_index.kitui_transformers: | 227 |
| abstract_inverted_index.kitui_travel_hours: | 249 |
| abstract_inverted_index.kitui_power_stations: | 201 |
| abstract_inverted_index.kitui_transmission_lines: | 238 |
| abstract_inverted_index.(<em>kitui_OnSSET_data</em>). | 88 |
| cited_by_percentile_year | |
| countries_distinct_count | 1 |
| institutions_distinct_count | 10 |
| citation_normalized_percentile |