Spatial Analysis of Honey Yield by Province Based on Registered Honey Production Data: Exploring Spatial Patterns Using Autocorrelation Statistic Article Swipe
Tuba Bayir
,
Emre Arslan
,
Şeref İnal
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.30607/kvj.1457854
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.30607/kvj.1457854
Throughout history, bees and their products have gained ever-increasing importance. Honey, valued for its diverse uses, has driven the emergence of new industries and products, fueled by the growing demand for beekeeping as a sustainable source of income. Providing spatial information is very important to ensure the sustainability of products. Therefore, this study aimed to reveal the spatial distribution of honey yield outputs in Türkiye with spatial analysis methods using exploratory spatial data analyses. Honey yield outputs in four time periods (2005–2010; 2011–2016; 2017–2022; 2005–2022) was tested by autocorrelation analysis, and Moran's I scatter plot was produced for each period. Standard Z statistics were found to be 4.1064, 3.1910, 2.1980 and 3.4427, respectively (p
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.30607/kvj.1457854
- OA Status
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- Cited By
- 1
- Related Works
- 10
- OpenAlex ID
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https://openalex.org/W4404704050Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.30607/kvj.1457854Digital Object Identifier
- Title
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Spatial Analysis of Honey Yield by Province Based on Registered Honey Production Data: Exploring Spatial Patterns Using Autocorrelation StatisticWork title
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articleOpenAlex work type
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enPrimary language
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2024Year of publication
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2024-11-25Full publication date if available
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Tuba Bayir, Emre Arslan, Şeref İnalList of authors in order
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https://doi.org/10.30607/kvj.1457854Publisher landing page
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YesWhether a free full text is available
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diamondOpen access status per OpenAlex
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https://doi.org/10.30607/kvj.1457854Direct OA link when available
- Concepts
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Spatial analysis, Statistic, Yield (engineering), Statistics, Exploratory analysis, Autocorrelation, Spatial distribution, Beekeeping, Geography, Production (economics), Mathematics, Agricultural science, Computer science, Biology, Ecology, Economics, Data science, Materials science, Macroeconomics, MetallurgyTop concepts (fields/topics) attached by OpenAlex
- Cited by
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1Total citation count in OpenAlex
- Citations by year (recent)
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2025: 1Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.Therefore, | 50 |
| abstract_inverted_index.Throughout | 0 |
| abstract_inverted_index.beekeeping | 31 |
| abstract_inverted_index.industries | 22 |
| abstract_inverted_index.statistics | 102 |
| abstract_inverted_index.exploratory | 70 |
| abstract_inverted_index.importance. | 9 |
| abstract_inverted_index.information | 40 |
| abstract_inverted_index.sustainable | 34 |
| abstract_inverted_index.2005–2022) | 84 |
| abstract_inverted_index.2011–2016; | 82 |
| abstract_inverted_index.2017–2022; | 83 |
| abstract_inverted_index.distribution | 58 |
| abstract_inverted_index.respectively | 112 |
| abstract_inverted_index.(2005–2010; | 81 |
| abstract_inverted_index.sustainability | 47 |
| abstract_inverted_index.autocorrelation | 88 |
| abstract_inverted_index.ever-increasing | 8 |
| cited_by_percentile_year.max | 95 |
| cited_by_percentile_year.min | 91 |
| countries_distinct_count | 0 |
| institutions_distinct_count | 3 |
| citation_normalized_percentile.value | 0.76268356 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |