diff --git a/graphics/py-mgwr/Makefile b/graphics/py-mgwr/Makefile
index d1e84c4743b8..6fec122bc6a7 100644
--- a/graphics/py-mgwr/Makefile
+++ b/graphics/py-mgwr/Makefile
@@ -6,7 +6,8 @@ PKGNAMEPREFIX=	${PYTHON_PKGNAMEPREFIX}
 
 MAINTAINER=	sunpoet@FreeBSD.org
 COMMENT=	Multiscale Geographically Weighted Regression
-WWW=		https://mgwr.readthedocs.io/en/latest/
+WWW=		https://mgwr.readthedocs.io/en/latest/ \
+		https://github.com/pysal/mgwr
 
 LICENSE=	BSD3CLAUSE
 LICENSE_FILE=	${WRKSRC}/LICENSE
diff --git a/graphics/py-mgwr/pkg-descr b/graphics/py-mgwr/pkg-descr
index 9dc2a8380e43..c4b39d8695d3 100644
--- a/graphics/py-mgwr/pkg-descr
+++ b/graphics/py-mgwr/pkg-descr
@@ -6,5 +6,3 @@ widely used approach to modeling process spatial heterogeneity - Geographically
 Weighted Regression (GWR) as well as the newly proposed approach - Multiscale
 GWR (MGWR) which relaxes the assumption that all of the processes being modeled
 operate at the same spatial scale. Inferences are available for both approaches.
-
-See also: https://github.com/pysal/mgwr