geoentitylinker-addon/src/main/java/opennlp/addons/geoentitylinker/scoring/CountryProximityScorer.java [238:273]:
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  private Double slidingDistanceAverage(List<Double> normDis) {
    List<Double> windowOfAverages = new ArrayList<>();

    if (normDis.size() < 3) {
      windowOfAverages.addAll(normDis);
    } else {

      for (int i = 0; i < normDis.size() - 1; i++) {
        double a = normDis.get(i);
        double b = normDis.get(i + 1);
        windowOfAverages.add((a + b) / 2);

      }
    }
    double sum = 0d;
    for (double d : windowOfAverages) {
      sum += d;
    }
    //TODO: ++ prob when large amounts of mentions for a code
    //System.out.println("avg of window:" + result);
    return sum / windowOfAverages.size();
  }

  /**
   * transposes a value within one range to a relative value in a different
   * range. Used to normalize distances in this class.
   *
   * @param valueToNormalize the value to place within the new range
   * @param minimum the min of the set to be transposed
   * @param maximum the max of the set to be transposed
   * @return
   */
  private Double normalize(int valueToNormalize, int minimum, int maximum) {
    Double d = (double) ((1 - 0) * (valueToNormalize - minimum)) / (maximum - minimum) + 0;
    d = d == null ? 0d : d;
    return d;
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geoentitylinker-addon/src/main/java/opennlp/addons/geoentitylinker/scoring/ProvinceProximityScorer.java [252:287]:
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  private Double slidingDistanceAverage(List<Double> normDis) {
    List<Double> windowOfAverages = new ArrayList<>();

    if (normDis.size() < 3) {
      windowOfAverages.addAll(normDis);
    } else {

      for (int i = 0; i < normDis.size() - 1; i++) {
        double a = normDis.get(i);
        double b = normDis.get(i + 1);
        windowOfAverages.add((a + b) / 2);

      }
    }
    double sum = 0d;
    for (double d : windowOfAverages) {
      sum += d;
    }
    //TODO: ++ prob when large amounts of mentions for a code
    //System.out.println("avg of window:" + result);
    return sum / windowOfAverages.size();
  }

  /**
   * transposes a value within one range to a relative value in a different
   * range. Used to normalize distances in this class.
   *
   * @param valueToNormalize the value to place within the new range
   * @param minimum the min of the set to be transposed
   * @param maximum the max of the set to be transposed
   * @return
   */
  private Double normalize(int valueToNormalize, int minimum, int maximum) {
    Double d = (double) ((1 - 0) * (valueToNormalize - minimum)) / (maximum - minimum) + 0;
    d = d == null ? 0d : d;
    return d;
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