Artificial Cognitive Maps: Selecting Heterogeneous Sets of Geographic Objects and Relations to Drive Highly Contextual Task-Oriented Map Views: Proceedings of Workshops and Posters at the 13th International Conference on Spatial Information Theory (COSIT 2017)

Lucas Godfrey; William Mackaness

Artificial Cognitive Maps: Selecting Heterogeneous Sets of Geographic Objects and Relations to Drive Highly Contextual Task-Oriented Map Views: Proceedings of Workshops and Posters at the 13th International Conference on Spatial Information Theory (COSIT 2017)

School of Geosciences

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Original language	English
Title of host publication	Artificial Cognitive Maps: Selecting Heterogeneous Sets of Geographic Objects and Relations to Drive Highly Contextual Task-Oriented Map Views
Publisher	Springer International Publishing AG
ISBN (Print)	978-3-319-63945-1
Publication status	Submitted - 2017

Cite this

Godfrey, L., & Mackaness, W. (2017). Artificial Cognitive Maps: Selecting Heterogeneous Sets of Geographic Objects and Relations to Drive Highly Contextual Task-Oriented Map Views: Proceedings of Workshops and Posters at the 13th International Conference on Spatial Information Theory (COSIT 2017) . Manuscript submitted for publication. In Artificial Cognitive Maps: Selecting Heterogeneous Sets of Geographic Objects and Relations to Drive Highly Contextual Task-Oriented Map Views Springer International Publishing AG.

Godfrey, Lucas ; Mackaness, William. / Artificial Cognitive Maps: Selecting Heterogeneous Sets of Geographic Objects and Relations to Drive Highly Contextual Task-Oriented Map Views : Proceedings of Workshops and Posters at the 13th International Conference on Spatial Information Theory (COSIT 2017) . Artificial Cognitive Maps: Selecting Heterogeneous Sets of Geographic Objects and Relations to Drive Highly Contextual Task-Oriented Map Views . Springer International Publishing AG, 2017.

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Godfrey, L & Mackaness, W 2017, Artificial Cognitive Maps: Selecting Heterogeneous Sets of Geographic Objects and Relations to Drive Highly Contextual Task-Oriented Map Views: Proceedings of Workshops and Posters at the 13th International Conference on Spatial Information Theory (COSIT 2017) . in Artificial Cognitive Maps: Selecting Heterogeneous Sets of Geographic Objects and Relations to Drive Highly Contextual Task-Oriented Map Views . Springer International Publishing AG.

Artificial Cognitive Maps: Selecting Heterogeneous Sets of Geographic Objects and Relations to Drive Highly Contextual Task-Oriented Map Views : Proceedings of Workshops and Posters at the 13th International Conference on Spatial Information Theory (COSIT 2017) . / Godfrey, Lucas; Mackaness, William.

Artificial Cognitive Maps: Selecting Heterogeneous Sets of Geographic Objects and Relations to Drive Highly Contextual Task-Oriented Map Views . Springer International Publishing AG, 2017.

Research output: Chapter in Book/Report/Conference proceeding › Chapter

TY - CHAP

T1 - Artificial Cognitive Maps: Selecting Heterogeneous Sets of Geographic Objects and Relations to Drive Highly Contextual Task-Oriented Map Views

T2 - Proceedings of Workshops and Posters at the 13th International Conference on Spatial Information Theory (COSIT 2017)

AU - Godfrey, Lucas

AU - Mackaness, William

PY - 2017

Y1 - 2017

M3 - Chapter

SN - 978-3-319-63945-1

BT - Artificial Cognitive Maps: Selecting Heterogeneous Sets of Geographic Objects and Relations to Drive Highly Contextual Task-Oriented Map Views

PB - Springer International Publishing AG

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Godfrey L, Mackaness W. Artificial Cognitive Maps: Selecting Heterogeneous Sets of Geographic Objects and Relations to Drive Highly Contextual Task-Oriented Map Views: Proceedings of Workshops and Posters at the 13th International Conference on Spatial Information Theory (COSIT 2017) . In Artificial Cognitive Maps: Selecting Heterogeneous Sets of Geographic Objects and Relations to Drive Highly Contextual Task-Oriented Map Views . Springer International Publishing AG. 2017