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Njideka MaryClara Aguome

Biographic Data

ID6310222
NAMENjideka MaryClara Aguome
GIVEN NAMESNjideka MaryClara
FAMILY NAMEAguome
SIGNATUREAGUOME N M
AFFILIATIONSUniversity of Botswana
ORCID0000-0002-6668-9731
VERIFIEDYes
TOTAL WORKS2
TOTAL CITATIONS1
WORKS AS AUTHOR2
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2024
LATEST PUBLICATION YEAR2026
H-INDEX1
  • The wicked problem of land use planning

    Open Access•Nonso Izuchukwu Ewurum, Nkiruka Evangeline Aso et al.•ARTICLE•Cogent Social Sciences•2026

    Conventional parametric models inadequately capture spatial complexity in weak governance contexts owing to the presence of volatile stochastic drivers. This study applied Maximum Entropy–Generalised Additive Modelling integration to examine non-linear development probabilities in Enugu, Nigeria. MaxEnt was applied to 685 development sites and 10,000 background points to rank 12 spatial and institutional predictors and extract functional complexi…

  • Public recreational facilities as catalyst for urban aging-in-place decision in developing countries

    Open Access•Njideka MaryClara Aguome, Njideka Aguome et al.•ARTICLE•Cities•2024•Cited by: 1•References: 71

  • Public recreational facilities as catalyst for urban aging-in-place decision in developing countries

    Open Access•Njideka MaryClara Aguome, Njideka Aguome et al.•ARTICLE•Cities•2024•Cited by: 1•References: 71

  • Public recreational facilities as catalyst for urban aging-in-place decision in developing countries

    Open Access•Njideka MaryClara Aguome, Njideka Aguome et al.•ARTICLE•Cities•2024•Cited by: 1•References: 71

  • The wicked problem of land use planning

    Open Access•Nonso Izuchukwu Ewurum, Nkiruka Evangeline Aso et al.•ARTICLE•Cogent Social Sciences•2026

    Conventional parametric models inadequately capture spatial complexity in weak governance contexts owing to the presence of volatile stochastic drivers. This study applied Maximum Entropy–Generalised Additive Modelling integration to examine non-linear development probabilities in Enugu, Nigeria. MaxEnt was applied to 685 development sites and 10,000 background points to rank 12 spatial and institutional predictors and extract functional complexi…

Additive model (1 work) · Business (1 work) · Developing country (1 work) · Economic and Technological Innovation (1 work) · Economic growth (1 work) · Economics (1 work) · Environmental planning (1 work) · Geography (1 work) · Land use (1 work) · Land Use and Ecosystem Services (1 work)

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