[GRASS-SVN] r68124 - grass/trunk/raster/r.series
svn_grass at osgeo.org
svn_grass at osgeo.org
Wed Mar 23 09:05:10 PDT 2016
Author: mmetz
Date: 2016-03-23 09:05:10 -0700 (Wed, 23 Mar 2016)
New Revision: 68124
Modified:
grass/trunk/raster/r.series/main.c
Log:
r.series: sync weights handling to r.neighbors, use w_* fns
Modified: grass/trunk/raster/r.series/main.c
===================================================================
--- grass/trunk/raster/r.series/main.c 2016-03-23 15:10:00 UTC (rev 68123)
+++ grass/trunk/raster/r.series/main.c 2016-03-23 16:05:10 UTC (rev 68124)
@@ -25,34 +25,35 @@
struct menu
{
stat_func *method; /* routine to compute new value */
+ stat_func_w *method_w; /* routine to compute new value (weighted) */
int is_int; /* result is an integer */
char *name; /* method name */
char *text; /* menu display - full description */
} menu[] = {
- {c_ave, 0, "average", "average value"},
- {c_count, 1, "count", "count of non-NULL cells"},
- {c_median, 0, "median", "median value"},
- {c_mode, 0, "mode", "most frequently occurring value"},
- {c_min, 0, "minimum", "lowest value"},
- {c_minx, 1, "min_raster", "raster with lowest value"},
- {c_max, 0, "maximum", "highest value"},
- {c_maxx, 1, "max_raster", "raster with highest value"},
- {c_stddev, 0, "stddev", "standard deviation"},
- {c_range, 0, "range", "range of values"},
- {c_sum, 0, "sum", "sum of values"},
- {c_var, 0, "variance", "statistical variance"},
- {c_divr, 1, "diversity", "number of different values"},
- {c_reg_m, 0, "slope", "linear regression slope"},
- {c_reg_c, 0, "offset", "linear regression offset"},
- {c_reg_r2, 0, "detcoeff", "linear regression coefficient of determination"},
- {c_reg_t, 0, "tvalue", "linear regression t-value"},
- {c_quart1, 0, "quart1", "first quartile"},
- {c_quart3, 0, "quart3", "third quartile"},
- {c_perc90, 0, "perc90", "ninetieth percentile"},
- {c_quant, 0, "quantile", "arbitrary quantile"},
- {c_skew, 0, "skewness", "skewness"},
- {c_kurt, 0, "kurtosis", "kurtosis"},
- {NULL, 0, NULL, NULL}
+ {c_ave, w_ave, 0, "average", "average value"},
+ {c_count, w_count, 1, "count", "count of non-NULL cells"},
+ {c_median, w_median, 0, "median", "median value"},
+ {c_mode, w_mode, 0, "mode", "most frequently occurring value"},
+ {c_min, NULL, 0, "minimum", "lowest value"},
+ {c_minx, NULL, 1, "min_raster", "raster with lowest value"},
+ {c_max, NULL, 0, "maximum", "highest value"},
+ {c_maxx, NULL, 1, "max_raster", "raster with highest value"},
+ {c_stddev, w_stddev, 0, "stddev", "standard deviation"},
+ {c_range, NULL, 0, "range", "range of values"},
+ {c_sum, w_sum, 0, "sum", "sum of values"},
+ {c_var, w_var, 0, "variance", "statistical variance"},
+ {c_divr, NULL, 1, "diversity", "number of different values"},
+ {c_reg_m, w_reg_m, 0, "slope", "linear regression slope"},
+ {c_reg_c, w_reg_c, 0, "offset", "linear regression offset"},
+ {c_reg_r2, w_reg_r2, 0, "detcoeff", "linear regression coefficient of determination"},
+ {c_reg_t, w_reg_t, 0, "tvalue", "linear regression t-value"},
+ {c_quart1, w_quart1, 0, "quart1", "first quartile"},
+ {c_quart3, w_quart3, 0, "quart3", "third quartile"},
+ {c_perc90, w_perc90, 0, "perc90", "ninetieth percentile"},
+ {c_quant, w_quant, 0, "quantile", "arbitrary quantile"},
+ {c_skew, w_skew, 0, "skewness", "skewness"},
+ {c_kurt, w_kurt, 0, "kurtosis", "kurtosis"},
+ {NULL, NULL, 0, NULL, NULL}
};
struct input
@@ -69,6 +70,7 @@
int fd;
DCELL *buf;
stat_func *method_fn;
+ stat_func_w *method_fn_w;
double quantile;
};
@@ -117,12 +119,14 @@
} flag;
int i;
int num_inputs;
- int num_weights;
struct input *inputs = NULL;
int num_outputs;
struct output *outputs = NULL;
struct History history;
DCELL *values = NULL, *values_tmp = NULL;
+ DCELL(*values_w)[2]; /* list of values and weights */
+ DCELL(*values_w_tmp)[2]; /* list of values and weights */
+ int have_weights;
int nrows, ncols;
int row, col;
double lo, hi;
@@ -189,6 +193,8 @@
if (G_parser(argc, argv))
exit(EXIT_FAILURE);
+ lo = -1.0 / 0.0; /* -inf */
+ hi = 1.0 / 0.0; /* inf */
if (parm.range->answer) {
lo = atof(parm.range->answers[0]);
hi = atof(parm.range->answers[1]);
@@ -202,6 +208,7 @@
G_fatal_error(_("Please specify %s= or %s="),
parm.input->key, parm.file->key);
+ have_weights = 0;
/* process the input maps from the file */
if (parm.file->answer) {
@@ -235,11 +242,15 @@
tokens = G_tokenize(tok_buf, "|");
ntokens = G_number_of_tokens(tokens);
- if(ntokens > 1) {
- name = G_chop(tokens[0]);
+ name = G_chop(tokens[0]);
+ if (ntokens > 1) {
weight = atof(G_chop(tokens[1]));
- } else {
- name = G_chop(buf);
+
+ if (weight <= 0)
+ G_fatal_error(_("Weights must be positive"));
+
+ if (weight != 1)
+ have_weights = 1;
}
/* Ignore empty lines */
@@ -266,6 +277,8 @@
fclose(in);
}
else {
+ int num_weights;
+
for (i = 0; parm.input->answers[i]; i++)
;
num_inputs = i;
@@ -274,29 +287,34 @@
G_fatal_error(_("Raster map not found"));
/* count weights */
- if(parm.weights->answers) {
+ num_weights = 0;
+ if (parm.weights->answers) {
for (i = 0; parm.weights->answers[i]; i++)
;
num_weights = i;
- } else {
- num_weights = 0;
}
if (num_weights && num_weights != num_inputs)
G_fatal_error(_("input= and weights= must have the same number of values"));
-
+
inputs = G_malloc(num_inputs * sizeof(struct input));
for (i = 0; i < num_inputs; i++) {
struct input *p = &inputs[i];
p->name = parm.input->answers[i];
+ p->weight = 1.0;
- if(num_weights)
+ if (num_weights) {
p->weight = (DCELL)atof(parm.weights->answers[i]);
- else
- p->weight = 1.0;
+ if (p->weight <= 0)
+ G_fatal_error(_("Weights must be positive"));
+
+ if (p->weight != 1)
+ have_weights = 1;
+ }
+
G_verbose_message(_("Reading raster map <%s> using weight %f..."), p->name, p->weight);
p->buf = Rast_allocate_d_buf();
if (!flag.lazy->answer)
@@ -323,7 +341,26 @@
int method = find_method(method_name);
out->name = output_name;
- out->method_fn = menu[method].method;
+
+ if (have_weights) {
+ if (menu[method].method_w) {
+ out->method_fn = NULL;
+ out->method_fn_w = menu[method].method_w;
+ }
+ else {
+ G_warning(_("Method %s not compatible with weights, using unweighed version instead"),
+ method_name);
+
+ out->method_fn = menu[method].method;
+ out->method_fn_w = NULL;
+ }
+ menu[method].is_int = 0;
+ }
+ else {
+ out->method_fn = menu[method].method;
+ out->method_fn_w = NULL;
+ }
+
out->quantile = (parm.quantile->answer && parm.quantile->answers[i])
? atof(parm.quantile->answers[i])
: 0;
@@ -335,6 +372,12 @@
/* initialise variables */
values = G_malloc(num_inputs * sizeof(DCELL));
values_tmp = G_malloc(num_inputs * sizeof(DCELL));
+ values_w = NULL;
+ values_w_tmp = NULL;
+ if (have_weights) {
+ values_w = (DCELL(*)[2]) G_malloc(num_inputs * 2 * sizeof(DCELL));
+ values_w_tmp = (DCELL(*)[2]) G_malloc(num_inputs * 2 * sizeof(DCELL));
+ }
nrows = Rast_window_rows();
ncols = Rast_window_cols();
@@ -370,7 +413,11 @@
Rast_set_d_null_value(&v, 1);
null = 1;
}
- values[i] = v * inputs[i].weight;
+ values[i] = v;
+ if (have_weights) {
+ values_w[i][0] = v;
+ values_w[i][1] = inputs[i].weight;
+ }
}
for (i = 0; i < num_outputs; i++) {
@@ -379,8 +426,14 @@
if (null && flag.nulls->answer)
Rast_set_d_null_value(&out->buf[col], 1);
else {
- memcpy(values_tmp, values, num_inputs * sizeof(DCELL));
- (*out->method_fn)(&out->buf[col], values_tmp, num_inputs, &out->quantile);
+ if (out->method_fn_w) {
+ memcpy(values_w_tmp, values_w, num_inputs * 2 * sizeof(DCELL));
+ (*out->method_fn_w)(&out->buf[col], values_w_tmp, num_inputs, &out->quantile);
+ }
+ else {
+ memcpy(values_tmp, values, num_inputs * sizeof(DCELL));
+ (*out->method_fn)(&out->buf[col], values_tmp, num_inputs, &out->quantile);
+ }
}
}
}
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