75 lines
2.4 KiB
Text
75 lines
2.4 KiB
Text
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GIOChannel* g_io_channel_unix_new (int fd);
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g_io_channel_set_encoding() function with NULL
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GIOStatus g_io_channel_set_encoding (GIOChannel *channel,
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const gchar *encoding,
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GError **error);
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guint g_io_add_watch (GIOChannel *channel,
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GIOCondition condition,
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GIOFunc func,
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gpointer user_data);
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gboolean (*GIOFunc) (GIOChannel *source,
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GIOCondition condition,
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gpointer data);
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FALSE for end watch
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Distance Point To Line:
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(for Peuker)
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d = |v^^.r| = (|(x_2-x_1)(y_1-y_0)-(x_1-x_0)(y_2-y_1)|)
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/
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(sqrt((x_2-x_1)^2+(y_2-y_1)^2))
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- Ausgleichskurve
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Ausgleichsrechnung
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Interpolation
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* Peuker line simplification
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* auto-split tracks
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if track has "gaps" then split track into two tracks.
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A gap is when in a group of four points A, B, C, D the distance
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from A to B and C to D is about the same but B to C is "a lot" more.
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* spike filter
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calculate mean deviation of all points of one track, then
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delete all points that have deviation > delta,
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recalculate mean deviation and redo
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* mean of two tracks A, B
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for each point of track A calculate distance to
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track B and create a new point on a new track in the middle of the
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distance. Next do the same process for all point of track B.
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The new track lies in the middle between A and B.
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Requires component-wise distance function with direction, i.e. e.g.
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distance of point is x=-5 and y=3 to track.
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* merge of two tracks
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for each point of track A find nearest corresponding point on
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track B, then calculate the average between both points and record
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this as new track point
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Repeat this for each point of track B.
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Limit the averaging to a maximum distance.
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SQLite tables
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-------------
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tracks track headers (streets, boundaries, rivers, ...)
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idx pkey index
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tid track id, id common to all data points of one track
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name track-/streetname
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ttype track-/streettype
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latmin bbox latitude min
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lonmin
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latmax
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lonmax
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trackpts the actual track (all tracks combined in one table?)
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lat
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lon
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ele
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dtim
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nrsat
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hdop
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vdop
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pdop
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points POIs
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cities name, center location, "size"
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