Hotspot analysis: a first prototype Python plugin enabling exploratory spatial data analysis into QGIS

Oxoli, Daniele; Zurbarán, Mayra; Shaji, Stanly; Muthusamy, Arun Kumar

doi:10.7287/peerj.preprints.2204v4

Cited by 6 publications

(8 citation statements)

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“…The GPS data point were extracted from Garmin into Microsoft Excel. The GPS Data were sorted and converted to CSV files for conversion into QGIS software for Hotspot Analysis (Getis and Ord 1992;Oxoli et al 2016). The Hotspot Analysis was based on the Getis-ord Gi statistic calculation.…”

Section: Discussionmentioning

confidence: 99%

Identifying the hotspot area of Indo-Pacific humpback (Sousa chinensis) and Irrawaddy (Orcaella brevirostris) dolphins in Matang waters, Perak, Malaysia

et al. 2022

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Abstract. Sobri MF, Jaaman SA, Mohamed Z, Muda AM, Rashid MASA, Zhang X. 2022. Identifying the hotspot area of Indo Pacific humpback (Sousa chinensis) and Irrawaddy (Orcaella brevirostris) dolphins in Matang waters, Perak, Malaysia. Biodiversitas 23: 6106-6113. The Indo-Pacific humpback (Sousa chinensis) and Irrawaddy (Orcaella brevirostris) dolphins are commonly found in Matang waters, Perak, Malaysia. The area, filled with healthy mangrove forest cover and many estuaries, is not only frequented by the dolphins for its daily activities but also extensively used by locals for artisanal fishing, charcoal production and organizing ecotourism activities. There could be a high risk of human-dolphin interactions, hence determining habitat use and identifying critical habitats or "hot spots" for the dolphins in the area is important. In this study, a series of dedicated boat sighting surveys were conducted from March 2019 to January 2021 between Kuala Gula and Kuala Jarum Mas. The total survey effort was 3325.76 km, 44 days and 239.38 hours. A total of 69 dolphin sightings were made, consisting of 40 Indo-Pacific humpback dolphins and 29 Irrawaddy dolphin observations, respectively. During each sighting, every dolphin's behaviors were categorized as: foraging, socializing, evasive, and travelling, and the survey area was classified into four blocks. The results indicated that different dolphin species have different hotspot areas. For Indo-Pacific humpback dolphins, the hotspot area was Kuala Sangga, while the Irrawaddy dolphin's hotspot area was outside Kuala Larut, and there was a small overlap between the two dolphins' hotspots. Among the recorded behaviors (n: 281) for both dolphins, the most dominant was foraging (72.24%), followed by socializing (17%), evasive (7%), and travelling (4%). The sighted foraging behavior for both dolphin populations was dominant, indicating the hot spots were major foraging grounds for the two dolphin populations. This study shows the importance of Matang waters as a conservation area for the species and warrants further studies of dolphin population ecology to be conducted.

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Section: Discussionmentioning

confidence: 99%

Identifying the hotspot area of Indo-Pacific humpback (Sousa chinensis) and Irrawaddy (Orcaella brevirostris) dolphins in Matang waters, Perak, Malaysia

et al. 2022

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“…As KDE does not provide a measure of statistical significance of hotspots, we used the QGIS Hotspot Analysis plugin to calculate Getis-Ord-Gi* statistics (Getis and Ord 1992 ; Oxoli et al 2016 ). We aggregated electrocution points into a 150 m by 150 m grid, with each cell containing a value representing the number of electrocutions.…”

Section: Methodsmentioning

confidence: 99%

Spatial Patterns of Primate Electrocutions in Diani, Kenya

et al. 2018

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Electrocution from power infrastructure threatens many primate species, yet knowledge of effective evidence-based mitigation strategies is limited. Mitigation planning requires an understanding of the spatial distribution of electrocutions to prioritize high-risk areas. In Diani, a coastal Kenyan town, electrocution is an important cause of death for five primate species. In this study we aim to describe the spatial patterns of electrocutions and electric shock incidents (collectively referred to as electrocutions hereafter) and identify electrocution hotspots to guide an effective primate conservation approach in Diani. Colobus Conservation, a not-for-profit organization, has recorded electrocutions and annual primate census data since 1998. We georeferenced 329 electrocution data points and analyzed them using QGIS. We identified and compared hotspots across species, seasons, and time using kernel density estimation and Getis-Ord-Gi*. We employed spatial regression models to test whether primate population density and power line density predicted the location of electrocution hotspots. Electrocutions occurred in hotspots that showed little variation in location between species and seasons. The limited variation in hotspot location over time likely occurred as a result of new building development in Diani and variability in primate detection rates by community members. Primate density and power line density were significant predictors of electrocution density for Angolan black-and-white colobus (Colobus angolensis palliatus) and Sykes monkeys (Cercopithecus mitis albogularis), but the relationship was weak, suggesting the presence of additional risk factors. This study provides a framework for systematic spatial prioritization of power lines that can be used to reduce primate electrocutions in Diani, and can be adopted in other areas of the world where primates are at risk from electrocution.Electronic supplementary materialThe online version of this article (10.1007/s10764-018-0046-6) contains supplementary material, which is available to authorized users.

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“…Among the various methods, hotspot analysis, using the Getis-Ord Gi* statistic (Getis and Ord, 1992;Ord and Getis, 1995), appears to be particularly effective. We used the "Hotspot Analysis" plugin, available on QGIS since 2016 (Oxoli et al, 2018(Oxoli et al, , 2017(Oxoli et al, , 2016. Hotspot analysis detects statistically significant clusters based on quantitative variables and the spatial relationship between artefacts.…”

Section: Local Analysismentioning

confidence: 99%

Spatial patterning of Middle Palaeolithic lithic assemblages at the Abri du Maras, Southeast France: Combining GIS analysis and 3D palaeotopographic reconstructions

Guillemot

Jaillet

Chacón

et al. 2023

Journal of Archaeological Science: Reports

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Hotspot analysis: a first prototype Python plugin enabling exploratory spatial data analysis into QGIS

Cited by 6 publications

References 0 publications

Identifying the hotspot area of Indo-Pacific humpback (Sousa chinensis) and Irrawaddy (Orcaella brevirostris) dolphins in Matang waters, Perak, Malaysia

Identifying the hotspot area of Indo-Pacific humpback (Sousa chinensis) and Irrawaddy (Orcaella brevirostris) dolphins in Matang waters, Perak, Malaysia

Spatial Patterns of Primate Electrocutions in Diani, Kenya

Spatial patterning of Middle Palaeolithic lithic assemblages at the Abri du Maras, Southeast France: Combining GIS analysis and 3D palaeotopographic reconstructions

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