mak - Make datasets

 Make bands between vertical pillars and with preserving of scalars. Can be used to model stacking velocities, EMG data, fault pillars.

The vertical pillars are connected into triangle strips between the points in the pillars. It requires that the vertical pillars are correctly sorted in sequence.

 The trg argument means to use Delauney triangulation on all pillars which then can be sorted in any order.

Make cell number into active data. Counting of cells and points starts from 0.

Start a new cell whenever the distance between points are greater than length. Distance calculation is by default done in the xy plane.

The 3d argument means calculating distance also for the z coordinate. 3d only will only use the z coordinates in distance calculation.

The acc argument means use the accumulated distance between points. A new cell will be generated when the accumulated distance is greater than length.

Legacy: Versions up until 8.0.4 had optional argument norem. The norem argument prevented the removal of single points in single cells. These points are now always preserved; making this argument redundant.

Tip: Single points may be removed by mak rem poi 1 . If the purpose is to remove all line connections, ending up with single points the command mak poi should be considered.

Start a new cell whenever the distance between points are greater than the first two points.

Select cells by repeated digitizing by p in the active graphic window. Terminate by keyboard u.

Select cells according to the selection frequency.

Add a point to the first or last point of the cells. x y and scalar are from the first or last point, while z gets the value.

Generate points at number number from every cell. Useful for stacking velocity data getting points at a specific number.

Generate outline points for all cells. For stacking velocity data the top points are selected first, the the bottom points.

The first and last point in all cells all generated to a new data set.

The cell nearest to the cursor is selected to a new data set.

Make cell scalars. Will create cell scalars for the cells. Mapping using cell scalars will shift colors for cells and not the points as with point scalars.

To create cells in a polydata set where there are no or few cells, but where the z values of the points are of equal values until it shifts to another value. The polydata will be split into cells where the z value shifts. Example: To be used for a saved contour data set all in one cell that has to be splitted into cells.

radius of circle, always first number after mak cir.

Position of origo.

Use cursor position.

start_value in degrees on circle, default 0, must be an integer.

stop_value in degrees on circle, default 360, must be an integer.

increment value in degree, default 1, must be an integer.

Not close, default is to close sectors.

Clean up polydata by removing unregistered or double registered points.

Makes a compass rose in upper right corner of the screen. Will follow the movements of the the camera and show correct north direction. Next mak com turns it off or one can use the off argument.

Make closed polygon cells.

Make closed polyline. Will sort and close gaps of a set of line pieces and connect the first and last point.

Make closed polygon regions.

Accumulated distances for xyz are calculated and placed in the scalar part. If start and stop values are used,the scalars will have zero outside these values.

Make a new copy of active data set and remove all references to any other data set in workspace.

Make field data field_dataname of numeric type into scalar values, or remove if argument rem.

Make field data from scalar values into field_dataname.

Remove field data with name field_dataname.

Rename field data from old_name to new_name.

Make polydata lines in x or y direction.

Make one polydata line for the gridline number.

Select every number grid line.

Select grid lines where the selection is random generated between 1 and number.

Make structured points grid within grid window from polysampled grid; i.e. the opposite of mak p. Sometimes it is necessary to enter rows and columns in the grid (i.e number of elements in the rows and columns) when these values may have been lost due to influence by similar values in a another grid or cube.

Reverse the sequence of points in the data set.

Get largest cell element in polydata.

Get point value from point number number. The values will be put in Geocap variables @xval @yval @zval.

Apply number of histogram divisions. (Default is 30). Gives the distribution of point counting into histogram cells. 
If you want a three dimensional histogram, apply the linear extrusion command: 
lix 11 (or -11 if you want it the other way) and display.

XY-oriented histogram counting the indicated variable.

Width factor of the bars.

Gives the cumulative distribution of point counting. 

To get the mean values in the histogram per bar.

To adjust the histogram to normalized (area==1).

Default : only the distances between points are tested and a cell is inserted when points have greater separation than distance. 
acc will insert a new cell when the sum of distances of the points is greater than distance.

Set local origo to min values for active data.

Check local origo for active data. Result in [gvar locori].

Remove local origo off for active data and update data instead.

Save local origo and turn off for active data.

Return and set local origo values for active data.

Set local origo for active data to x y z.

Mirror the data according to (for x) : x = xmax + xmin - x

Make normals and add the array of normals to the data set. Used in many algorithms and will also influence the display

Make new scalar cell values from the operation add | sub | mul | div | fix value.

Make new scalar cell values using active cell values as input.

Make new celltype by converting present to celltype. Example: mak nce 4 ;# convertes to poly lines.

Make a polydata set of lines of normals at the points multiplied with the lengthfactor.

Make a selection with frequency selection of the line normals.

Transform the data set into a line preserving extreme points

distance = minimum distance between points (default value for distance = 0; larger number results in fewer points).
max maxnpoints = maximum number of points in result will not be larger than maxnpoints.

Transform the data set into a line with distance distance between points. 
all = Keep all points, new and original. 
olt = only distances lower than distance between points. 
exact means to calculate the same distance between points with an absolutely exact algorithm. 
2d | 3d | 2dx | 2dy | 2dz are options when calculating the distance. Default is 3d which means the distance calculation is using x,y,z values.

Remove points that are closer than distance to the next point.

Make the active line into a new line with approximately number number of points. The present line should have only one line cell. 
The [cnt] option means connect and will connect new points to existing ones if possible.

Make line segments out of the cell structure.

Make number evenly spaced points in the line. E.g. to be used in a camera path.

Make exactly the same number of points in all cells the line.

Make a selection with frequency selection of the line normals.

Make a new line with points where the line in active are crossing the grid lines of grid_in_workspace.

Make line projection; e.g. stretch a cross section or curved line to a complete plane in z (default), x or y.

Make polydata from structured point grid. The resampling will take place according to display level unless nochk.

Make polygon line type from closed polygon cells.

Select every number of point

Select inside cells. Start selection after_value. Use scalar values [sva] after_value.

Make polygon line type from cells.

Make profile against data in workspace workspacename

Make single stick fault lines into closed stick fault [not connect first and last point in cell]. 
width is the width of the stickfault.

Transfer the point set to scalar data.

Make number random points within the window frame.

Random points, z values between zmin and zmax.

Random points, z values are zapped from surface grid in active. 
[Add noise between min (e.g. -10) and max (e.g. 10) to the generated points].

Create only points, no cell structure.

Make random scalars on polydata [in the cells].

Remove cells with length lower or greater than the length value.

Remove cells having less or more points than value.

Remove cells of type less than celltype, default 3 if omitted. Line cells have cell type 4. Vertices (single points) have cell type 1. mak rem typ 3 will remove single points isolated in cell type vertex

Will remove line cells consisting of three points that have equal z values that may represent an unwanted line connection.

Remove points flagged as undefined in polydata. Clean up data set after delete operation.

Reverse the ordering of points in the data set [or cell number cellnr].

Make rods; i.e. line of point to point connections between point in active and same number of points in workspace workspacename.

Replace scalar data with scalars from workspace workspacename. The data set in active is usually polydata while workspacename can be polydata or grid as long as the scalar part is equivalent to the that in active.

Reverse cell ordering or normals direction to get a different light setting.

Make scalar data from z values.

The arguments sta start step will start create scalar values from a start value and increase by a step value.

Make sequence numbers in data set in the x (default) column or in y or z columns. Optionally apply a start and stop entry.

If the sequence is to be placed in the scalars, do: swi xysz ; mak seq z ; swi xysz

Make shaded and closed polygon cells.

Make sorted and connected line (polyline). Will sort and close gaps [within a tolerance]. tolerance is a number. Duplicate points are removed.
The tolerance option works in xy space unless 3d is given. Use this for complete xyz tolerance test.

Make scalar data to z values points.

Make structured points to polydata triangles/triangle-strips [and resample into nx ny]

Make a single point from point number number in a data set. Points are counted from 0.

Set point x | y | z | s value for point number number to value.

Make triangle strips from triangles.

Make tangent map in the scalar values. If the input is a standard grid, the result is polydata. Mapping the data will show the steepness of the terrain in degrees.

Make texture coordinates for sphere or cylinder or active grid or grid in workspacename.

Make triangles between active data and data in workspacename.

Make triangle strips between active data and data in workspacename. If the argument sca is used the scalars of the connecting points will be kept. The requirement in that case is however that the two datasets have exact equal number of points.

Transfere a 3d cube of structured points into an unstructured grid. This grid will follow the topology of the reservoir.

Make vectors to the cell data. The vectors are a three component attribute comparable to scalar that are associated with the cell data.

Make vector array to point array.

Make a 3d grid from all layers associated with active layer file.

Make extra border around a grid. all includes all cells in the border.