Add to ORKGGeographic information interpolation methods to predict continuously distributed large datasets of geographic features using sampled data. Two approaches are identified in practice: deterministic interpolation and geo-statistical interpolation. Concepts and theories of geographic information interpolation models and their application, in particular for multi-variable analysis, will be studied
Spatial interpolation is the procedure of estimating the value of properties at unsampled sites with...
A large collection of interpolation techniques is available for application in environmental researc...
AbstractIn many fields, spatial interpolation is used to evaluate physical data in a continuous doma...
Geographic information interpolation methods to predict continuously distributed large datasets of g...
Thesis (M.S.)--Humboldt State University, Natural Resources: Natural Resources Planning and Interpre...
Negreiros, J., Painho, M., Aguilar, F., & Aguilar, M. (2010). Geographical information systems princ...
In this survey we present various classical geostatistical prediction methods with a focus on interp...
Annotation. The paper briefly reports the application of the modeling and interpolation methods appl...
Abstract: Interpolation techniques for spatial data have been applied frequently in various fields o...
Presentation date: 2004-08-30Graduation date: 2005The purpose of this work is to broaden the theoret...
Although interpolation methods are commonly used in geographical information systems (GIS) for model...
GeoComputation is a relatively recent and emergent discipline containing numerous methods and techni...
<div><p>Areal interpolation is the procedure of using known attribute values at a set of (source) ar...
Geographical information systems could be improved by adding procedures for geostatistical spatial a...
Interpolation techniques for spatial data have been applied frequently in various fields of geoscien...
Spatial interpolation is the procedure of estimating the value of properties at unsampled sites with...
A large collection of interpolation techniques is available for application in environmental researc...
AbstractIn many fields, spatial interpolation is used to evaluate physical data in a continuous doma...
Geographic information interpolation methods to predict continuously distributed large datasets of g...
Thesis (M.S.)--Humboldt State University, Natural Resources: Natural Resources Planning and Interpre...
Negreiros, J., Painho, M., Aguilar, F., & Aguilar, M. (2010). Geographical information systems princ...
In this survey we present various classical geostatistical prediction methods with a focus on interp...
Annotation. The paper briefly reports the application of the modeling and interpolation methods appl...
Abstract: Interpolation techniques for spatial data have been applied frequently in various fields o...
Presentation date: 2004-08-30Graduation date: 2005The purpose of this work is to broaden the theoret...
Although interpolation methods are commonly used in geographical information systems (GIS) for model...
GeoComputation is a relatively recent and emergent discipline containing numerous methods and techni...
<div><p>Areal interpolation is the procedure of using known attribute values at a set of (source) ar...
Geographical information systems could be improved by adding procedures for geostatistical spatial a...
Interpolation techniques for spatial data have been applied frequently in various fields of geoscien...
Spatial interpolation is the procedure of estimating the value of properties at unsampled sites with...
A large collection of interpolation techniques is available for application in environmental researc...
AbstractIn many fields, spatial interpolation is used to evaluate physical data in a continuous doma...