TY  - JOUR
T1  - Komşu Mahallelerdeki Konut Fiyat Farklılıklarının Mekansal Analizlerle İncelenmesi: Ankara Çankaya İlçesi Örneği
TT  - Investigating Housing Price Differences in Adjacent Neighborhoods Using Spatial Analysis: The Case of Ankara’s Çankaya District
AU  - Gülnerman Gengeç, Ayşe Giz
AU  - Memişoğlu Baykal, Tuğba
PY  - 2025
DA  - September
Y2  - 2025
DO  - 10.48123/rsgis.1731127
JF  - Türk Uzaktan Algılama ve CBS Dergisi
JO  - Turk J Remote Sens GIS
PB  - Halil AKINCI
WT  - DergiPark
SN  - 2717-7165
SP  - 343
EP  - 359
VL  - 6
IS  - 2
LA  - tr
AB  - Bu çalışma, konut piyasasında yakın bölgeler arasındaki satılık fiyat farklılıklarını araştırarak bu durumu mekânsal analizlerle incelemektedir. Ankara'nın Çankaya ilçesi çalışma alanı olarak belirlenmiş ve konut satış birim (m²) fiyatları için Endeksa web sayfası veri kaynağı olarak kullanılmıştır. 2020-2024 yıllarına ait mahalle bazlı konut fiyat değişimleri incelenirken, Getis-Ord ve Lokal Moran's I mekânsal analiz teknikleri kullanılmıştır. Getis-Ord analizi ile incelenen yıllarda konut fiyatlarındaki yüksek ya da düşük fiyat kümelenmeleri ortaya çıkarılmış, Lokal Moran's I yöntemiyle ise yakın bölgeler arasındaki fiyatların mekânsal otokorelasyonu tespit edilmiştir. Bu çalışma, Çankaya ilçesindeki konut satış fiyatlarının yıllara göre mekânsal dağılımını ortaya koyarak tutarlı kümelenme örüntülerini ve ayrışan bölgeleri belirlemiştir. Bulgular, konut piyasasındaki bölgesel dinamiklerin anlaşılmasına katkı sağlayarak yatırım ve planlama kararları için mekânsal temelli bir analiz sunmaktadır.
KW  - Konut piyasası
KW  - Mahalle bazlı konut fiyatı analizi
KW  - Getis-Ord Gi*
KW  - Lokal Moran’s-I
N2  - This study investigates the differences in asking prices between nearby areas in the housing market and examines this situation through spatial analyses. The district of Çankaya in Ankara is selected as the study area, and data on unit sale prices per square meter are obtained from the Endeksa website. Neighborhood-based housing price changes for the years 2020–2024 are analyzed using the spatial analysis techniques of Getis-Ord and Local Moran's I. While the Getis-Ord analysis revealed clusters of high or low pricing during the examined years, the Local Moran's I method identified the spatial autocorrelation of prices between neighboring areas. This study reveals the spatial distribution of housing sale prices in Çankaya district over the years, identifying consistent clustering patterns as well as diverging areas. The findings contribute to understanding regional dynamics in the housing market and offer a spatially grounded analysis to inform investment and planning decisions.
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CR  - ESRI. (2025b). How Cluster and Outlier Analysis (Anselin Local Moran's I) works. 11 Nisan 2025’te https://pro.arcgis.com/en/pro-app/latest/tool-reference/spatial-statistics/h-how-cluster-and-outlier-analysis-anselin-local-m.htm adresinden alındı.
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UR  - https://doi.org/10.48123/rsgis.1731127
L1  - https://dergipark.org.tr/tr/download/article-file/5007899
ER  -