2018
DOI: 10.5194/isprs-annals-iv-4-105-2018
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The Maasai of Southern Kenya Domain Model of Land Use

Abstract: <p><strong>Abstract.</strong> We present a domain model that formalises the human-land relations in the Maasai nomadic pastoralist society in Kenya, referred to as MSKDM, and its integration with the prominent Land Administration Domain Model (LADM). Our long-term aim is to facilitate a land administration system that can accurately capture and express salient Maasai concepts of land use, ownership, communal tenure, and to assist in transparency during land transactions. We use an extensive c… Show more

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Cited by 6 publications
(8 citation statements)
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“…From the corner vertices and the ink extracting the connections between the vertices to form topological structures called a doubly connected edge list (DCEL) [25] (pp. [29][30][31][32][33]. The final polygons are obtained from this DCEL structure.…”
Section: Vectorize the Sketchmentioning
confidence: 99%
See 3 more Smart Citations
“…From the corner vertices and the ink extracting the connections between the vertices to form topological structures called a doubly connected edge list (DCEL) [25] (pp. [29][30][31][32][33]. The final polygons are obtained from this DCEL structure.…”
Section: Vectorize the Sketchmentioning
confidence: 99%
“…The relationship between child and parent nodes in the tree is that the child node is a subconcept of the parent. Figure 7 shows the top two levels of the concept tree of a local domain model used during one of our studies called the MSKDM [32]. The domain model has high level classes Activity, SocialUnit, Livestock, and EnvironmentalCharacteristic.…”
Section: Enter Land Tenure Relations (Rights Responsibilities Restrictions)mentioning
confidence: 99%
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“…SmartSkeMa supports land tenure in two ways (Chipofya et al, 2017). First, it documents land-related concepts in a structured domain model as described by the local owners (Karamesouti et al, 2018). Second, it supports the mapping processes by digitizing, annotating, and georeferencing hand-drawn objects in a sketch map (Schwering et al, 2014).…”
Section: Smartskemamentioning
confidence: 99%