TY - JOUR
T1 - Spatial Data Science
AU - Bação, Fernando
AU - Santos, Maribel Yasmina
AU - Behnisch, Martin
N1 - Bação, F., Santos, M. Y., & Behnisch, M. (2020). Spatial Data Science. [Editorial]. ISPRS International Journal of Geo-Information, 9(7), 1-5. [428]. https://doi.org/10.3390/ijgi9070428
PY - 2020/7
Y1 - 2020/7
N2 - The field of data science has had a significant impact in both academia and industry, and with good reason. The ability to make use of large amounts of data to find solutions for pressing problems in society, the environment, and business, constitutes both an opportunity and a challenge. The concept of data is our best prospect to improve our understanding of the world significantly, ease the attrition in human/environ.
AB - The field of data science has had a significant impact in both academia and industry, and with good reason. The ability to make use of large amounts of data to find solutions for pressing problems in society, the environment, and business, constitutes both an opportunity and a challenge. The concept of data is our best prospect to improve our understanding of the world significantly, ease the attrition in human/environ.
KW - Spatial Data
KW - Data Science
UR - http://www.scopus.com/inward/record.url?scp=85088260363&partnerID=8YFLogxK
UR - http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=Alerting&SrcApp=Alerting&DestApp=WOS_CPL&DestLinkType=FullRecord&UT=000557303000001
U2 - 10.3390/ijgi9070428
DO - 10.3390/ijgi9070428
M3 - Editorial
AN - SCOPUS:85088260363
VL - 9
SP - 1
EP - 5
JO - ISPRS International Journal of Geo-Information
JF - ISPRS International Journal of Geo-Information
SN - 2220-9964
IS - 7
M1 - 428
ER -