Utilize imagery and crowdsourced data on spatial employment modelling
Background: Spatial employment modeling investigates employment distribution, patterns, influencing factors, neighboring area impact, and regional policy efficacy. Conventional studies often rely on traditional data sources, which may overlook critical employment-related phenomena. In 2022, Java rec...
Saved in:
| Main Authors: | Novi Hidayat Pusponegoro, Ro'fah Nur Rachmawati, Maria A. Hasiholan Siallagan, Ditto Satrio Wicaksono |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Pendidikan Matematika, UIN Raden Intan Lampung
2024-12-01
|
| Series: | Al-Jabar |
| Subjects: | |
| Online Access: | https://ejournal.radenintan.ac.id/index.php/al-jabar/article/view/24518 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Challenges in Crowdsourcing Geospatial Data to Replace or Enhance Official Sources
by: Clodoveu A. Davis
Published: (2018-07-01) -
Boosting Crowdsourced Annotation Accuracy: Small Loss Filtering and Augmentation-Driven Training
by: Yanming Fu, et al.
Published: (2024-01-01) -
Ragù. Preserving Italian Cookbooks in a Sustainable Crowdsourced Digital Collection
by: Giulia Renda, et al.
Published: (2025-07-01) -
Research Data Management and Crowdsourcing Personal Histories
by: Catherine Conisbee
Published: (2025-02-01) -
Crowdsourcing geographic information for terrorism-related disaster awareness and mitigation: perspectives and challenges
by: Michaelmary Chukwu, et al.
Published: (2024-12-01)