Citation: arXiv -> SIGSPATIAL (#927)

* Citation: arXiv -> SIGSPATIAL

* Update README

* No journal recognized

* Trying to get the bibtex to render correctly

* Follow schema more closely

* Update README

* Fix conference location

* Update README

* Update link

Co-authored-by: Caleb Robinson <calebrob6@gmail.com>

CITATION.cff

@@ -1,7 +1,7 @@
-cff-version: 1.2.0
-message: "If you use this software, please cite it as below."
+# https://github.com/citation-file-format/citation-file-format/blob/main/schema-guide.md
+cff-version: "1.2.0"
+message: "If you use this software, please cite it using the metadata from this file."
 preferred-citation:
-  type: article
   authors:
   - family-names: "Stewart"
     given-names: "Adam J."
@@ -15,8 +15,20 @@ preferred-citation:
     given-names: "Juan M."
   - family-names: "Banerjee"
     given-names: "Arindam"
-  journal: "arXiv preprint arXiv:2111.08872"
+  collection-title: "Proceedings of the 30th International Conference on Advances in Geographic Information Systems"
+  collection-type: "proceedings"
+  conference:
+    city: "Seattle"
+    name: "SIGSPATIAL '22"
+    region: "Washington"
+  doi: "10.1145/3557915.3560953"
+  end: 12
+  isbn: "9781450395298"
   month: 11
+  number: 19
+  publisher: "Association for Computing Machinery"
+  start: 1
   title: "TorchGeo: Deep Learning With Geospatial Data"
-  url: "https://github.com/microsoft/torchgeo"
-  year: 2021
+  type: "conference-paper"
+  url: "https://dl.acm.org/doi/10.1145/3557915.3560953"
+  year: 2022

README.md

@@ -30,7 +30,7 @@ For [conda](https://docs.conda.io/) and [spack](https://spack.io/) installation
 
 ## Documentation
 
-You can find the documentation for TorchGeo on [ReadTheDocs](https://torchgeo.readthedocs.io). This includes API documentation, contributing instructions, and several [tutorials](https://torchgeo.readthedocs.io/en/stable/tutorials/getting_started.html). For more details, check out our [paper](https://arxiv.org/abs/2111.08872) and [blog](https://pytorch.org/blog/geospatial-deep-learning-with-torchgeo/).
+You can find the documentation for TorchGeo on [ReadTheDocs](https://torchgeo.readthedocs.io). This includes API documentation, contributing instructions, and several [tutorials](https://torchgeo.readthedocs.io/en/stable/tutorials/getting_started.html). For more details, check out our [paper](https://dl.acm.org/doi/10.1145/3557915.3560953) and [blog](https://pytorch.org/blog/geospatial-deep-learning-with-torchgeo/).
 
 ## Example Usage
 
@@ -140,15 +140,20 @@ $ python train.py config_file=conf/landcoverai.yaml
 
 ## Citation
 
-If you use this software in your work, please cite our [paper](https://arxiv.org/abs/2111.08872):
+If you use this software in your work, please cite our [paper](https://dl.acm.org/doi/10.1145/3557915.3560953):
 ```
-@article{Stewart_TorchGeo_deep_learning_2021,
+@inproceedings{Stewart_TorchGeo_Deep_Learning_2022,
+    address = {Seattle, Washington},
     author = {Stewart, Adam J. and Robinson, Caleb and Corley, Isaac A. and Ortiz, Anthony and Lavista Ferres, Juan M. and Banerjee, Arindam},
-    journal = {arXiv preprint arXiv:2111.08872},
+    booktitle = {Proceedings of the 30th International Conference on Advances in Geographic Information Systems},
+    doi = {10.1145/3557915.3560953},
     month = {11},
+    pages = {1--12},
+    publisher = {Association for Computing Machinery},
+    series = {SIGSPATIAL '22},
     title = {{TorchGeo}: Deep Learning With Geospatial Data},
-    url = {https://github.com/microsoft/torchgeo},
-    year = {2021}
+    url = {https://dl.acm.org/doi/10.1145/3557915.3560953},
+    year = {2022}
 }
 ```