Verification of Approved Lease Contracts in Pampanga State Agricultural University Using GIS (Record no. 14258)
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000 -LEADER | |
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fixed length control field | 01800ntm a2200157 a 4500 |
001 - CONTROL NUMBER | |
control field | 129312 |
003 - CONTROL NUMBER IDENTIFIER | |
control field | 0000000000 |
005 - DATE AND TIME OF LATEST TRANSACTION | |
control field | 20250408094139.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 201006n 000 0 eng d |
100 0# - MAIN ENTRY--PERSONAL NAME | |
Personal name | Ingal, Yleson S. |
245 00 - TITLE STATEMENT | |
Title | Verification of Approved Lease Contracts in Pampanga State Agricultural University Using GIS |
Medium | [manuscript] / |
Statement of responsibility, etc. | Yleson S. Ingal. |
260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
Place of publication, distribution, etc. | Magalang, Pampanga : |
Name of publisher, distributor, etc. | Pampanga State Agricultural Universty, |
Date of publication, distribution, etc. | 2019. |
300 ## - PHYSICAL DESCRIPTION | |
Extent | ix; 52 leaves + CD ; |
Dimensions | 28 cm. |
500 ## - GENERAL NOTE | |
General note | The study aimed to verify the approved lease contracts in PSAU using GIS. An open-ended structured interview was also conducted to evaluate the leased properties inside the University. Pampanga State Agricultural University occupies approximately 500 hectares of government agricultural lands in the town of Magalang, Pampanga. The University has rapid development, especially on infrastructures and land use. The boundaries of the leased properties in PSAU are not projected on the University map. Therefore, it is highly recommended to project the boundaries of the leased properties. The projection and mapping of the leased properties were made using GPS and GIS application (Google Earth and QGIS). Based on the results, there werediscrepancies between the area stated on each Memorandum of Agreement and the actual area gathered from the field survey. Overlapping of boundaries were projected. Thematic maps, specifically, land classification maps were created to validate the land use of each leased property. The data collected from the structured interview and billing statements were used to evaluate the objectives of the projects. |
Withdrawn status | Lost status | Damaged status | Not for loan | Home library | Current library | Shelving location | Date acquired | Total checkouts | Full call number | Barcode | Date last seen | Price effective from | Koha item type |
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Not for loan | PSAU OLM | PSAU OLM | Dissertation, Theses | 10/06/2020 | UT In4 2019 | UT11873 | 04/08/2025 | 04/08/2025 | Theses |