various typo fixed (https://trac.osgeo.org/grass/ticket/2971)

git-svn-id: https://svn.osgeo.org/grass/grass/branches/releasebranch_7_0@68174 15284696-431f-4ddb-bdfa-cd5b030d7da7

raster/r.cost/main.c

@@ -678,7 +678,7 @@ int main(int argc, char *argv[])
 	    Rast_get_row(fd, cell2, row, data_type2);
 	    ptr2 = cell2;
 	    for (col = 0; col < ncols; col++) {
-		/* Did I understand that concept of cummulative cost map? - (pmx) 12 april 2000 */
+		/* Did I understand that concept of cumulative cost map? - (pmx) 12 april 2000 */
 		if (!Rast_is_null_value(ptr2, data_type2)) {
 		    double cellval;
 

raster/r.stream.extract/r.stream.extract.html

@@ -25,7 +25,7 @@ recommended to use internally computed flow accumulation if a
 depression map is provided.
 
 <p>
-Option <b>threshold</b> defines the minimum (optionally modifed) flow
+Option <b>threshold</b> defines the minimum (optionally modified) flow
 accumulation value that will initiate a new stream. If Montgomery's
 method for channel initiation is used, the cell value of the
 accumulation input map is multiplied by <tt>(tan(local

raster/r.walk/main.c

@@ -813,7 +813,7 @@ int main(int argc, char *argv[])
 	    Rast_get_row(fd, cell2, row, data_type2);
 	    ptr2 = cell2;
 	    for (col = 0; col < ncols; col++) {
-		/* Did I understand that concept of cummulative cost map? - (pmx) 12 april 2000 */
+		/* Did I understand that concept of cumulative cost map? - (pmx) 12 april 2000 */
 		if (!Rast_is_null_value(ptr2, data_type2)) {
 		    double cellval;
 

raster/r.watershed/ram/do_flatarea.c

@@ -6,7 +6,7 @@
  * The assignment of drainage direction over flat surfaces in raster
  * digital elevation models. J. Hydrol 193, 204-213.
  *
- * the method is modifed for speed, only one pass is necessary to get
+ * the method is modified for speed, only one pass is necessary to get
  * the gradient away from higher terrain
  * 
  *********************************************************************/

vector/v.net.centrality/v.net.centrality.html

@@ -21,7 +21,7 @@ Betweenness measure is not normalised. In order to get the normalised
 values (between 0 and 1), each number needs to be divided by <em>N 
 choose 2=N*(N-1)/2</em> where N is the number of nodes in the 
 connected component. Computation of eigenvector measure terminates 
-if the given number of iterations is reached or the cummulative <em>
+if the given number of iterations is reached or the cumulative <em>
 squared</em> error between the successive iterations is less than <b>
 error</b>.