Farha SATTAR
Biographic Data
| ID | 6959169 |
|---|---|
| NAME | Farha SATTAR |
| GIVEN NAMES | Farha |
| FAMILY NAME | SATTAR |
| SIGNATURE | SATTAR F |
| AFFILIATIONS | Charles Darwin University |
| ORCID | 0000-0001-7070-8715 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2025 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Spatial data infrastructure as the means to assemble geographic information necessary for effective agricultural policies in Pakistan
Geospatial information is used to regularly estimate agricultural production for improving food security and economic indicators. Particularly, such estimates are vital for agriculture-based economies like Pakistan. However, poorly managed spatial information causes inaccurate agricultural estimates. Consequently, public policies such as agriculture policies often remain unsustainable to secure enough food and to uplift the rural economy. Against…
Beyond access
National Spatial Data Infrastructure as a Catalyst for Good Governance and Policy Improvements in Pakistan
This study explores the potential of National Spatial Data Infrastructure (NSDI) to strengthen governance and policy processes in Pakistan. Drawing on the UNESCAP principles of good governance and the EGU policy cycle model, this research applies a dual-method approach combining thematic document analysis of 23 national policy frameworks and a stakeholder survey (n = 28). The results reveal that while many policies reference spatial data conceptu…
Factors impeding the implementation of spatial data infrastructure in lower middle-income economies
The economy of a country has a direct impact on the development, provision, and management of information such as spatial information that refers to the location of objects on earth. Spatial information is considered vital in policy planning and economic decision-making. For standardization and sound decision making, spatial information such as geology, climate change, topographic needs to be assembled and shared through spatial data infrastructu…
No prominent works on this page.
National Spatial Data Infrastructure as a Catalyst for Good Governance and Policy Improvements in Pakistan
This study explores the potential of National Spatial Data Infrastructure (NSDI) to strengthen governance and policy processes in Pakistan. Drawing on the UNESCAP principles of good governance and the EGU policy cycle model, this research applies a dual-method approach combining thematic document analysis of 23 national policy frameworks and a stakeholder survey (n = 28). The results reveal that while many policies reference spatial data conceptu…
Factors impeding the implementation of spatial data infrastructure in lower middle-income economies
The economy of a country has a direct impact on the development, provision, and management of information such as spatial information that refers to the location of objects on earth. Spatial information is considered vital in policy planning and economic decision-making. For standardization and sound decision making, spatial information such as geology, climate change, topographic needs to be assembled and shared through spatial data infrastructu…
Spatial data infrastructure as the means to assemble geographic information necessary for effective agricultural policies in Pakistan
Geospatial information is used to regularly estimate agricultural production for improving food security and economic indicators. Particularly, such estimates are vital for agriculture-based economies like Pakistan. However, poorly managed spatial information causes inaccurate agricultural estimates. Consequently, public policies such as agriculture policies often remain unsustainable to secure enough food and to uplift the rural economy. Against…
Beyond access
Business (3 works) · E-Government and Public Services (2 works) · Economics (2 works) · Environmental planning (2 works) · Geography (2 works) · ICT in Developing Communities (2 works) · Regional science (2 works) · Remote sensing (2 works) · Spatial analysis (2 works) · Spatial data infrastructure (2 works)