v4.23.4 Expose Hillier metric for angular closeness, update plugin homepage

Author: songololo

pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "cityseer"
-version = '4.23.3'
+version = '4.23.4'
 description = "Computational tools for network-based pedestrian-scale urban analysis"
 readme = "README.md"
 requires-python = ">=3.10, <3.14" # pending fiona support for 3.14

qgis_plugin/cityseer_qgis/algorithms/centrality.py

@@ -426,7 +426,8 @@ def _run_metric_batches(
                         for i, fid in enumerate(r.node_keys_py):
                             if fid in results and farness[i] > 0:
                                 val = float(density[i] ** 2 / farness[i])
-                                results[fid][f"cc_hillier_{d}"] = val if math.isfinite(val) else None
+                                hcol = f"cc_hillier_{d}_{col_prefix}" if col_prefix else f"cc_hillier_{d}"
+                                results[fid][hcol] = val if math.isfinite(val) else None
                 batch_idx += 1
             for d, p in sampled_distances:
                 _d, _p = [d], p
@@ -451,7 +452,8 @@ def _run_metric_batches(
                         for i, fid in enumerate(r.node_keys_py):
                             if fid in results and farness[i] > 0:
                                 val = float(density[i] ** 2 / farness[i])
-                                results[fid][f"cc_hillier_{dd}"] = val if math.isfinite(val) else None
+                                hcol = f"cc_hillier_{dd}_{col_prefix}" if col_prefix else f"cc_hillier_{dd}"
+                                results[fid][hcol] = val if math.isfinite(val) else None
                 batch_idx += 1
             step += 1
 
@@ -490,7 +492,7 @@ def _run_metric_batches(
             return {}
 
         if do_simplest:
-            # Build attr list per category — beta, cycles, hillier are shortest-path-only
+            # Build attr list per category — beta, cycles are shortest-path-only
             simplest_attrs = []
             if closeness_simplest:
                 if do_harmonic:
@@ -514,6 +516,7 @@ def _run_metric_batches(
                     node_count,
                     simplest_attrs,
                     "ang",
+                    derive_hillier=do_hillier and closeness_simplest,
                     compute_closeness=closeness_simplest,
                     compute_betweenness=betweenness_simplest,
                     tolerance=tolerance,

qgis_plugin/cityseer_qgis/algorithms/centrality_widget.py

@@ -47,6 +47,12 @@
         False,
     ),
     ("METRIC_FARNESS", "Farness", "Sum of distances to all reachable nodes \u2192 cc_farness_<d>_ang", False),
+    (
+        "METRIC_HILLIER",
+        "Hillier (n\u00b2/farness)",
+        "Derived closeness variant (density\u00b2 / farness) \u2192 cc_hillier_<d>_ang",
+        False,
+    ),
 ]
 
 _BETWEENNESS_METRICS_SHORTEST = [

qgis_plugin/cityseer_qgis/metadata.txt

@@ -2,7 +2,7 @@
 name=Cityseer
 qgisMinimumVersion=3.99
 description=Urban network centrality analysis using the cityseer library
-version=4.23.3
+version=4.23.4
 author=Benchmark Urbanism
 email=gareth.simons@ucl.ac.uk
 
@@ -11,7 +11,13 @@ about=Cityseer computes localised network centrality metrics (closeness and betw
     graph representation where each road segment is a node connected to its neighbours.
     Requires the cityseer Python library: pip install cityseer
 
-changelog=4.23.2
+changelog=4.23.4
+    - Expose Hillier metric for angular closeness
+
+    4.23.3
+    - Update plugin homepage URL
+
+    4.23.2
     - Fix betweenness tolerance: always update shortest distance on improvement
     - Default tolerance to 0 (exact shortest paths)
 
@@ -24,7 +30,7 @@ changelog=4.23.2
 
 tracker=https://github.com/benchmark-urbanism/cityseer-api/issues
 repository=https://github.com/benchmark-urbanism/cityseer-api
-homepage=https://cityseer.benchmarkurbanism.com
+homepage=https://cityseer.benchmarkurbanism.com/plugin
 
 hasProcessingProvider=yes
 tags=network centrality,urban analysis,closeness,betweenness,street network,graph