@article{fdi:010060458,
  title = {{G}eodiversity : exploration of 3{D} geological model space},
  author = {{L}indsay, {M}. {D}. and {J}essell, {M}ark and {A}illeres, {L}. and {P}errouty, {S}. and de {K}emp, {E}. and {B}etts, {P}. {G}.},
  editor = {},
  language = {{ENG}},
  abstract = {{T}he process of building a 3{D} model necessitates the reconciliation of field observations, geophysical interpretation, geological data uncertainty and the prevailing tectonic evolution hypotheses and interpretations. {U}ncertainty is compounded when clustered data points collected at local scales are statistically upscaled to one or two points for use in regional models. {I}nterpretation is required to interpolate between sparse field data points using ambiguous geophysical data in covered terranes. {I}t becomes clear that multiple interpretations are possible during model construction. {T}he various interpretations are considered as potential natural representatives, but pragmatism typically dictates that just a single interpretation is offered by the modelling process. {U}ncertainties are introduced into the 3{D} model during construction from a variety of sources and through data set optimisation that produces a single model. {P}ractices such as these are likely to result in a model that does not adequately represent the target geology. {A} set of geometrical 'geodiversity' metrics are used to analyse a 3{D} model of the {G}ippsland {B}asin, southeastern {A}ustralia after perturbing geological input data via uncertainty simulation. {T}he resulting sets of perturbed geological observations are used to calculate a suite of geological 3{D} models that display a range of geological architectures. {T}he concept of biodiversity has been adapted for the geosciences to quantify geometric variability, or geodiversity, between models in order to understand the effect uncertainty has models geometry. {V}arious geometrical relationships (depth, volume, contact surface area, curvature and geological complexity) are used to describe the range of possibilities exhibited throughout the model suite. {E}nd-member models geodiversity metrics are classified in a similar manner to taxonomic descriptions. {F}urther analysis of the model suite is performed using principal component analysis ({PCA}) to determine important geometrical characteristics. {T}he configuration of the model space is determined through identifying 'outlier' model examples, which potentially represent undiscovered model 'species'.},
  keywords = {{G}eodiversity ; {U}ncertainty ; 3{D} modelling ; {M}odel space ; {P}rincipal component analysis ; {G}ippsland {B}asin ; {AUSTRALIE}},
  booktitle = {},
  journal = {{T}ectonophysics},
  volume = {594},
  numero = {},
  pages = {27--37},
  ISSN = {0040-1951},
  year = {2013},
  DOI = {10.1016/j.tecto.2013.03.013},
  URL = {https://www.documentation.ird.fr/hor/fdi:010060458},
}