Input format update

Gabmap has been updated regarding the input formats it accepts. From now on you are able to input the following files when entering the geographical information:

  • A txt file where each line contains (tab-separated):
    Location        Longitude        Latitude
    Or a line starting with ‘#’, indicating this line is a comment and will be ignored
    See example: https://www.gabmap.nl/~app/examples/Dutch613-coordinates.txt
  • An xls(x) file in which every row contains three values (in three consecutive cells):
    Location Longitude Latitude
  • A kml file which only includes coordinates of locations, but no polygons
  • A kml file generated from within the sp R package and rgdal R package
  • A kml file including both location coordinates and polygons (the original option)

Whenever no polygons in your input file are present, there are two options:

  • You may select a country from the drop-down list: Gabmap will use a crude outline for that country as your polygon
  • If you haven’t selected a country, Gabmap will draw a convex hull around all points in your dataset (+ 10 kilometers)

If a polygon has been generated, you will be able to download the resulting kml file in the ‘places’ output (“download generated kml file”).

Regarding the input data, Gabmap now not only accepts tab-separated text files, but also xls(x) files having the same pattern as before:

  • The top row contains the labels of the items
  • The first column contains the locations (matching those in the geographical file)
  • The top-left cell is empty
  • The cells contain the variants used in each place for each item
  • See example: https://www.gabmap.nl/~app/examples/Dutch613.xlsx

If you encounter any issues please contact Martijn Wieling!

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Server change

Gabmap has migrated to a new server! Performance should be better and there should not be any SSL errors anymore. Unfortunately, if you have old projects it may be the case that not all options work anymore. In that case please create a new project with the same files. If there are any remaining issues, please contact Martijn Wieling.

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Gabmap update

A new version of Gabmap will be installed next Wednesday (20 February 2012) between 10:00 and 12:00 (CET). The new version includes major improvements on ‘Cluster Determinants’, and some minor bug fixes. Please do not hesitate to contact if you experience any problems. If you’d like to try the new version, you can already try it at http://gabmap.nl/testing (the data is not shared with the main site, you will need to create a new account).

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Comments disabled

Because of the large amount of spam, comments for all posts and pages are now disabled for non-subscribers. See About for contacting by e-mail.

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Warning: cluster determinants has changed

The scoring method in the Gabmap part cluster determinants has changed. Please report any adverse effects on performance caused by this change.

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Bug fix: MultiGeometry

It is now possible to use kml files that contain MultiGeometry. If you still notice problems with these type of kml files, please let me know.

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New: introduction video

An introduction video is now available.

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New paper: Gabmap — A Web Application for Dialectology

Now available, the final version of:

John Nerbonne, Rinke Colen, Charlotte Gooskens, Peter Kleiweg, and Therese Leinonen (2011). Gabmap — A Web Application for Dialectology

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The processing of numeric data has changed

The processing of numeric data has changed. This change does not effect existing projects.

There were two methods to choose from to join the results of individual columns, Euclidean Distance and Manhattan Distance. There is now only one method, which is average distance.

Euclidean Distance emphasises larger values over smaller ones. That doesn’t make much sense in the current set-up.

Manhattan Distance is just the unscaled version of average distance.

The use of Cronbach’s Alpha has also changed. It used to be applied to the numeric data itself. Now it is applied to the measurements of the data, just like it is with the processing of string data and categorical data.

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Cluster Validation

Now available, a demonstration of cluster validation.

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