Optimizing dispatch and home delivery services utilizing GIS in Botswana: Botswana Post case study

Moreri, Kealeboga Kaizer; Maphale, Lopang; Nkhwanana, J. N.

doi:10.1007/s41324-017-0123-5

Cited by 2 publications

(2 citation statements)

References 11 publications

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“…These include a wide variety of cases starting from data visualisation for detecting environmental trends, or data processing for climate change analysis, to more complex tasks of climate modelling, including prognosis and forecasting. Mapping spatial data aims to visualise environmental parameters in the most effective way in order to highlight variations in parameters of topography, temperature, soil moisture, land use dynamic,s and many more [113][114][115][116][117]. To this end, cartographic visualisation has to bridge the gap between technical issues of spatial data processing and semantic interpretation of geo-information as a source of knowledge in environmental and Earth science.…”

Section: Discussionmentioning

confidence: 99%

Mapping Climate Parameters over the Territory of Botswana Using GMT and Gridded Surface Data from TerraClimate

Lemenkova

2022

IJGI

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This articles presents a new series of maps showing the climate and environmental variability of Botswana. Situated in southern Africa, Botswana has an arid to semi-arid climate, which significantly varies in its different regions: Kalahari Desert, Makgadikgadi Pan and Okavango Delta. While desert regions are prone to droughts and periods of extreme heat during the summer months, other regions experience heavy downpours, as well as episodic and unpredictable rains that affect agricultural activities. Such climatic variations affect social and economic aspects of life in Botswana. This study aimed to visualise the non-linear correlations between the topography and climate setting at the country’s scale. Variables included T °C min, T °C max, precipitation, soil moisture, evapotranspiration (PET and AET), downward surface shortwave radiation, vapour pressure and vapour pressure deficit (VPD), wind speed and Palmer Drought Severity Index (PDSI). The dataset was taken from the TerraClimate source and GEBCO for topographic mapping. The mapping approach included the use of Generic Mapping Tools (GMT), a console-based scripting toolset, which enables the use of a scripting method of automated mapping. Several GMT modules were used to derive a set of climate parameters for Botswana. The data were supplemented with the adjusted cartographic elements and inspected by the Geospatial Data Abstraction Library (GDAL). The PDSI in Botswana in 2018 shows stepwise variation with seven areas of drought: (1) −3.7 to −2.2. (extreme); (2) −2.2 to −0.8 (strong, southern Kalahari); (3) −0.8 to 0.7 (significant, central Kalahari; (4) 0.7 to 2.1 (moderate); (5) 2.1 to 3.5 (lesser); (6) 3.5 to 4.9 (low); (7) 4.9 to 6.4 (least). The VPD has a general trend towards the south-western region (Kalahari Desert, up to 3.3), while it is lower in the north-eastern region of Botswana (up to 1.4). Other values vary respectively, as demonstrated in the presented 12 maps of climate and environmental inventory in Botswana.

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Section: Discussionmentioning

confidence: 99%

Mapping Climate Parameters over the Territory of Botswana Using GMT and Gridded Surface Data from TerraClimate

Lemenkova

2022

IJGI

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“…Em contrapartida, foram desenvolvidos projetos de SIG móvel que seguem a política Open Source, capazes de trabalhar também de forma fácil e intuitiva na realização de trabalhos de campo, a exemplo do BeeGIS (De Donatis et al, 2010), do GIS Cloud´s Mobile Data Collection (Kalam et al, 2016), GvSIG Mobile (Moutahir e Agazzi, 2012), KoBo ToolBox (Deniau et al, 2017), GeoODK (Brovelli et al, 2015), QField (Moreri et al, 2017) e do QGIS (CarrascoLetelier, 2015).…”

Section: Geotecnologias Livres E Dispositivos Móveis Na Coleta De Dadosunclassified

O Uso De Geotecnologias Livres: Qgis E Epicollect No Levantamento De Dados Em Geociências

2018

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RESUMOA popularização dos dispositivos móveis suscitou a divulgação de diversos aplicativos voltados ao geoprocessamento. Esse cenário vem a impulsionar um caminho colaborativo em torno dos projetos de softwares livres. O presente estudo teve por objetivo mostrar uma metodologia autônoma para o levantamento de dados em campo de pesquisa em geociências a partir das geotecnologias livres QGIS para Android e EpiCollect. O uso dessas ferramentas computacionais provou ser eficiente para a coleta de dados e navegação em tempo real em campo. A combinação delas também mostrou a versatilidade de aplicá-la em atividades acadêmicas e profissionais sem custos extras.Palavras-chave: Geoprocessamento livre, QGIS, EpiCollect, metodologia, coleta de dados, geociências. THE USE OF OPEN SOURCE GEOTECHNOLOGIES: QGIS AND EPICOLLECT ON THE DATA ACQUISITION IN GEOSCIENCES ABSTRACTThe popularity of mobile devices has been encouraged a lot of geoprocessing applications development. This scenery is inciting a collaborative way around free softwares. This study shows a methodology to collect field data using free geotechnologies like QGIS for Android and EpiCollect. The use of these computational tools was efficient to data collection and real time navigation in field. This tools combined use shown the versatility to apply to both academic and professional activities with no extra costs.

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Optimizing dispatch and home delivery services utilizing GIS in Botswana: Botswana Post case study

Cited by 2 publications

References 11 publications

Mapping Climate Parameters over the Territory of Botswana Using GMT and Gridded Surface Data from TerraClimate

Mapping Climate Parameters over the Territory of Botswana Using GMT and Gridded Surface Data from TerraClimate

O Uso De Geotecnologias Livres: Qgis E Epicollect No Levantamento De Dados Em Geociências

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