Java·Applied·Geodesy·3D

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====== Videoanleitungen für JAG3D ======

Um den Einstieg in JAG3D zu erleichtern, existiert eine [[https://www.youtube.com/playlist?list=PLyOqiH7SWWC94Zmi5TVT7ClDqQWNrjbJ1|Playlist]] mit Kurzvideos. Diese Videos bearbeiten kein vollständiges Projekt, sondern fokussieren stets auf ein bestimmtes Problem. Sie bauen teilweise aufeinander auf. Die Daten, die in den Videotutorials verwendet werden, entstammen i.A. einem [[tutorial|Tutorial]]. Die Videos sind in Englisch verfasst. Für Anregungen und Wünsche sowie Fragen zu den Videotutorials steht das [[https://software.applied-geodesy.org/forum/|Forum]] zur Verfügung.

===== Getting started: Create a project, import data, adjust a network =====

This tutorial describes the first steps in the software package JAG3D consisting of creating a new project, import raw data, and adjusting a small leveling network. 

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===== Specifying the stochastic model of the network adjustment =====

This tutorial deals with the specification of the stochastic model in the software package JAG3D. 

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===== Properties of the free network adjustment =====

This tutorial focus on some important properties of the free network adjustment using the software package JAG3D. 

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===== Outliers: Detection, Identification, Adaptation =====

This tutorial demonstrates the common strategy of handling outliers in the data including the three steps of detection, identification and adaptation (DIA) suggested by the pioneer work of Baarda using the software package JAG3D. 

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=====  Geodetic networks and point types ===== 

This tutorial focuses on the point types supported by JAG3D. A leveling network is adjusted using known reference points (forced network), and using stochastic points (dynamic network). The differences between the point type are demonstrated.

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=====  Deformation analysis ===== 

A deformation analysis (congruence analysis) is performed based on the raw observations of a small leveling network using the software JAG3D. The stability of the reference network - the datum points - is analysed using hypothesis testing within a free network adjustment. According to the DIA approach, a misspecified functional model is detected and an unstable datum point is identified. In the adaptation phase, this point is treated as object point - not defining the datum. Moreover, shift parameters of object points are derived.

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