DETERMINATION OF SUITABLE BEEKEEPING PLACES BY WEIGHTED OVERLAY ANALYSIS: A CASE STUDY OF BOLU, TÜRKİYE

Şule Yaman; Mustafa Yaman

Makale detayları

DETERMINATION OF SUITABLE BEEKEEPING PLACES BY WEIGHTED OVERLAY ANALYSIS: A CASE STUDY OF BOLU, TÜRKİYE

Yazarlar:

Şule Yaman | Mustafa Yaman

Yayıncı:

Bursa Uludağ University

Ana Başlıklar:

Hayvan Bilimi (Diğer) | Ziraat Mühendisliği (Diğer) | Arı ve İpek Böceği Yetiştiriciliği ve Islahı

Dergi:

Uludağ Arıcılık Dergisi Vol.23 Issue 2, pp.239-251

Belge Tipi:

Makale

Yayın Tarihi:

11/2023

Belge Dili:

İngilizce

Document ID (Org No.):

2001303773

pISSN:

2687-5594

Anahtar kelimeler:

Özet:

 Beekeeping is one of the main livelihoods of our country, and our countrys rich geography, different climate and topography are quite suitable for beekeeping. The increase in interest in beekeeping activities has led to more income with less maintenance and expense compared to other agricultural activities. The increasing interest has also revealed the necessity of determining suitable places for beekeeping to increase beekeeping activities efficiency. For this purpose, weighted overlay analysis, which is one of the Geographical Information Systems GIS techniques, was carried out using ArcGIS 10.7.1 in this study for the province of Bolu. Slope, aspect, elevation, precipitation, vegetation and distance to roads, streams and settlements were used for analysis. As a result of the analyzes made, it was determined that 90.95 of Bolu province is suitable for beekeeping activities. In addition, it has been determined whether the existing beekeeping locations are suitable for beekeeping.

 Beekeeping is one of the main livelihoods of our country, and our countrys rich geography, different climate and topography are quite suitable for beekeeping. The increase in interest in beekeeping activities has led to more income with less maintenance and expense compared to other agricultural activities. The increasing interest has also revealed the necessity of determining suitable places for beekeeping to increase beekeeping activities efficiency. For this purpose, weighted overlay analysis, which is one of the Geographical Information Systems GIS techniques, was carried out using ArcGIS 10.7.1 in this study for the province of Bolu. Slope, aspect, elevation, precipitation, vegetation and distance to roads, streams and settlements were used for analysis. As a result of the analyzes made, it was determined that 90.95 of Bolu province is suitable for beekeeping activities. In addition, it has been determined whether the existing beekeeping locations are suitable for beekeeping.

 Beekeeping is one of the main livelihoods of our country, and our countrys rich geography, different climate and topography are quite suitable for beekeeping. The increase in interest in beekeeping activities has led to more income with less maintenance and expense compared to other agricultural activities. The increasing interest has also revealed the necessity of determining suitable places for beekeeping to increase beekeeping activities efficiency. For this purpose, weighted overlay analysis, which is one of the Geographical Information Systems GIS techniques, was carried out using ArcGIS 10.7.1 in this study for the province of Bolu. Slope, aspect, elevation, precipitation, vegetation and distance to roads, streams and settlements were used for analysis. As a result of the analyzes made, it was determined that 90.95 of Bolu province is suitable for beekeeping activities. In addition, it has been determined whether the existing beekeeping locations are suitable for beekeeping.

 Beekeeping is one of the main livelihoods of our country, and our countrys rich geography, different climate and topography are quite suitable for beekeeping. The increase in interest in beekeeping activities has led to more income with less maintenance and expense compared to other agricultural activities. The increasing interest has also revealed the necessity of determining suitable places for beekeeping to increase beekeeping activities efficiency. For this purpose, weighted overlay analysis, which is one of the Geographical Information Systems GIS techniques, was carried out using ArcGIS 10.7.1 in this study for the province of Bolu. Slope, aspect, elevation, precipitation, vegetation and distance to roads, streams and settlements were used for analysis. As a result of the analyzes made, it was determined that 90.95 of Bolu province is suitable for beekeeping activities. In addition, it has been determined whether the existing beekeeping locations are suitable for beekeeping.

Makale detayları

DETERMINATION OF SUITABLE BEEKEEPING PLACES BY WEIGHTED OVERLAY ANALYSIS: A CASE STUDY OF BOLU, TÜRKİYE

Yazarlar:

Şule Yaman | Mustafa Yaman

Yayıncı:

Bursa Uludağ University

Ana Başlıklar:

Hayvan Bilimi (Diğer) | Ziraat Mühendisliği (Diğer) | Arı ve İpek Böceği Yetiştiriciliği ve Islahı

Dergi:

Uludağ Arıcılık Dergisi Vol.23 Issue 2, pp.239-251

Belge Tipi:

Makale

Yayın Tarihi:

11/2023

Belge Dili:

İngilizce

Document ID (Org No.):

2001303773

pISSN:

2687-5594

GIS

Beekeeping

Weighted overlay Analysis

Suitable beekeeping sites

Sayı

Makale detayları

DETERMINATION OF SUITABLE BEEKEEPING PLACES BY WEIGHTED OVERLAY ANALYSIS: A CASE STUDY OF BOLU, TÜRKİYE

Yazarlar: Şule Yaman | Mustafa Yaman

Yayıncı: Bursa Uludağ University

Ana Başlıklar: Hayvan Bilimi (Diğer) | Ziraat Mühendisliği (Diğer) | Arı ve İpek Böceği Yetiştiriciliği ve Islahı

Dergi: Uludağ Arıcılık Dergisi Vol.23 Issue 2, pp.239-251

Belge Tipi: Makale

Yayın Tarihi: 11/2023

Belge Dili: İngilizce

Document ID (Org No.): 2001303773

pISSN: 2687-5594

GIS

Beekeeping

Weighted overlay Analysis

Suitable beekeeping sites

Sayı

Yazarlar:

Şule Yaman | Mustafa Yaman

Yayıncı:

Bursa Uludağ University

Ana Başlıklar:

Hayvan Bilimi (Diğer) | Ziraat Mühendisliği (Diğer) | Arı ve İpek Böceği Yetiştiriciliği ve Islahı

Dergi:

Uludağ Arıcılık Dergisi Vol.23 Issue 2, pp.239-251

Belge Tipi:

Makale

Yayın Tarihi:

11/2023

Belge Dili:

İngilizce

Document ID (Org No.):

2001303773

pISSN:

2687-5594